index
int64 0
731k
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stringlengths 2
98
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stringlengths 1
76
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281k
⌀ | code
stringlengths 4
8.19k
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⌀ | embed_func_code
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708,814
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sweetviz.dataframe_report
|
__setitem__
| null |
def __setitem__(self, key, value):
self._features[key] = value
|
(self, key, value)
|
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] |
708,815
|
sweetviz.dataframe_report
|
generate_comet_friendly_html
| null |
def generate_comet_friendly_html(self):
# Enforce comet_ml-friendly layout and re-output report based on INI settings (comet_ml_Defaults)
self.page_layout = config["comet_ml_defaults"]["html_layout"]
self.scale = float(config["comet_ml_defaults"]["html_scale"])
sv_html.set_summary_positions(self)
sv_html.generate_html_detail(self)
if self.associations_html_source:
self.associations_html_source = sv_html.generate_html_associations(self, "source")
if self.associations_html_compare:
self.associations_html_compare = sv_html.generate_html_associations(self, "compare")
self._page_html = sv_html.generate_html_dataframe_page(self)
|
(self)
|
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] |
708,816
|
sweetviz.dataframe_report
|
get_predetermined_type
| null |
@staticmethod
def get_predetermined_type(name: str,
feature_predetermined_types: dict):
if feature_predetermined_types is None:
return sa.FeatureType.TYPE_UNSUPPORTED
return sa.FeatureType.TYPE_UNSUPPORTED
|
(name: str, feature_predetermined_types: dict)
|
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] |
708,817
|
sweetviz.dataframe_report
|
get_sanitized_bool_series
| null |
@staticmethod
def get_sanitized_bool_series(source: pd.Series) -> pd.Series:
# This casting due to nan's causing crashes
series_only_with_booleans = source.map(DataframeReport.sanitize_bool, na_action='ignore')
return (series_only_with_booleans * 1).astype('Int64')
|
(source: pandas.core.series.Series) -> pandas.core.series.Series
|
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] |
708,818
|
sweetviz.dataframe_report
|
get_target_type
| null |
def get_target_type(self) -> FeatureType:
if self._target is None:
return None
return self._target["type"]
|
(self) -> sweetviz.sv_types.FeatureType
|
[
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] |
708,819
|
sweetviz.dataframe_report
|
get_type
| null |
def get_type(self, feature_name: str) -> FeatureType:
if self._features.get(feature_name) is None:
if self._target["name"] == feature_name:
return self._target["type"]
else:
return None
return self._features[feature_name].get("type")
|
(self, feature_name: str) -> sweetviz.sv_types.FeatureType
|
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] |
708,820
|
sweetviz.dataframe_report
|
get_what_influences_me
| null |
def get_what_influences_me(self, feature_name: str) -> dict:
influenced = dict()
for cur_name, cur_associations in self._associations.items():
if cur_name == feature_name:
continue
influence = cur_associations.get(feature_name)
if influence is not None:
influenced[cur_name] = influence
return influenced
|
(self, feature_name: str) -> dict
|
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] |
708,821
|
sweetviz.dataframe_report
|
log_comet
| null |
def log_comet(self, experiment: 'comet_ml_logger.Experiment'):
self.generate_comet_friendly_html()
try:
experiment.log_html(self._page_html)
except:
print("log_comet(): error logging HTML report.")
|
(self, experiment: 'comet_ml_logger.Experiment')
|
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] |
708,822
|
sweetviz.dataframe_report
|
process_associations
| null |
def process_associations(self, features_to_process: List[FeatureToProcess], source_target_series,
compare_target_series):
def mirror_association(association_dict, feature_name, other_name, value):
if other_name not in association_dict.keys():
association_dict[other_name] = dict()
other_dict = association_dict[other_name]
if feature_name not in other_dict.keys():
other_dict[feature_name] = value
for feature in features_to_process:
feature_name = feature.source.name
if feature_name not in self._associations.keys():
self._associations[feature_name] = dict()
cur_associations = self._associations[feature_name]
if feature.compare is not None:
if feature_name not in self._associations_compare.keys():
self._associations_compare[feature_name] = dict()
cur_associations_compare = self._associations_compare[feature_name]
else:
cur_associations_compare = None
for other in features_to_process:
# for other in [of for of in features_to_process if of.source.name != feature_name]:
process_compare = cur_associations_compare is not None and other.compare is not None
# if other.source.name in cur_associations.keys():
# print(f"Skipping {feature_name} {other.source.name}")
# continue
if other.source.name == feature_name:
cur_associations[other.source.name] = 0.0
mirror_association(self._associations, feature_name, other.source.name, 0.0)
if process_compare:
cur_associations_compare[other.source.name] = 0.0
mirror_association(self._associations_compare, feature_name, other.source.name, 0.0)
continue
if self[feature_name]["type"] == FeatureType.TYPE_CAT or \
self[feature_name]["type"] == FeatureType.TYPE_BOOL:
# CAT/BOOL source
# ------------------------------------
if self[other.source.name]["type"] == FeatureType.TYPE_CAT or \
self[other.source.name]["type"] == FeatureType.TYPE_BOOL:
# CAT-CAT
cur_associations[other.source.name] = \
associations.theils_u(feature.source, other.source)
if process_compare:
cur_associations_compare[other.source.name] = \
associations.theils_u(feature.compare, other.compare)
elif self[other.source.name]["type"] == FeatureType.TYPE_NUM:
# CAT-NUM
# This handles cat-num, then mirrors so no need to process num-cat separately
# (symmetrical relationship)
cur_associations[other.source.name] = \
associations.correlation_ratio(feature.source, other.source)
mirror_association(self._associations, feature_name, other.source.name, \
cur_associations[other.source.name])
if process_compare:
cur_associations_compare[other.source.name] = \
associations.correlation_ratio(feature.compare, other.compare)
mirror_association(self._associations_compare, feature_name, other.source.name, \
cur_associations_compare[other.source.name])
elif self[feature_name]["type"] == FeatureType.TYPE_NUM:
# NUM source
# ------------------------------------
if self[other.source.name]["type"] == FeatureType.TYPE_NUM:
# NUM-NUM
try:
cur_associations[other.source.name] = \
feature.source.corr(other.source, method='pearson')
except FloatingPointError:
# This usually happens when there is only 1 non-NaN value in each data series
# Assigning the value 1.0 as per
# https://stats.stackexchange.com/questions/94150/why-is-the-pearson-correlation-1-when-only-two-data-values-are-available
# -> Also showing a warning
cur_associations[other.source.name] = 1.0
self.corr_warning.append(feature_name + "/" + other.source.name)
# TODO: display correlation error better in graph!
if isnan(cur_associations[other.source.name]):
if feature.source.equals(other.source):
cur_associations[other.source.name] = CORRELATION_IDENTICAL
else:
# ERROR may occur if Nan's in one match values in other, and vice-versa
cur_associations[other.source.name] = CORRELATION_ERROR
mirror_association(self._associations, feature_name, other.source.name, \
cur_associations[other.source.name])
if process_compare:
cur_associations_compare[other.source.name] = \
feature.compare.corr(other.compare, method='pearson')
# TODO: display correlation error better in graph!
if isnan(cur_associations_compare[other.source.name]):
if feature.compare.equals(other.compare):
cur_associations_compare[other.source.name] = CORRELATION_IDENTICAL
else:
# ERROR may occur if Nan's in one match values in other, and vice-versa
cur_associations_compare[other.source.name] = CORRELATION_ERROR
mirror_association(self._associations_compare, feature_name, other.source.name, \
cur_associations_compare[other.source.name])
self.progress_bar.update(1)
|
(self, features_to_process: List[sweetviz.sv_types.FeatureToProcess], source_target_series, compare_target_series)
|
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] |
708,823
|
sweetviz.dataframe_report
|
sanitize_bool
| null |
@staticmethod
def sanitize_bool(value) -> bool:
if value is bool:
return value
elif isinstance(value, str):
return value.lower() in ['true', '1', 't', 'y', 'yes', '1.0']
elif isinstance(value, float) or isinstance(value, int):
return bool(value)
return False
|
(value) -> bool
|
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] |
708,824
|
sweetviz.dataframe_report
|
show_html
| null |
def show_html(self, filepath='SWEETVIZ_REPORT.html', open_browser=True, layout='widescreen', scale=None):
scale = float(self.use_config_if_none(scale, "html_scale"))
layout = self.use_config_if_none(layout, "html_layout")
if layout not in ['widescreen', 'vertical']:
raise ValueError(f"'layout' parameter must be either 'widescreen' or 'vertical'")
sv_html.load_layout_globals_from_config()
self.page_layout = layout
self.scale = scale
sv_html.set_summary_positions(self)
sv_html.generate_html_detail(self)
if self.associations_html_source:
self.associations_html_source = sv_html.generate_html_associations(self, "source")
if self.associations_html_compare:
self.associations_html_compare = sv_html.generate_html_associations(self, "compare")
self._page_html = sv_html.generate_html_dataframe_page(self)
f = open(filepath, 'w', encoding="utf-8")
f.write(self._page_html)
f.close()
if open_browser:
self.verbose_print(f"Report {filepath} was generated! NOTEBOOK/COLAB USERS: the web browser MAY not pop up, regardless, the report IS saved in your notebook/colab files.")
# Not sure how to work around this: not fatal but annoying...Notebook/colab
# https://bugs.python.org/issue5993
webbrowser.open('file://' + os.path.realpath(filepath))
else:
self.verbose_print(f"Report {filepath} was generated.")
if len(self.corr_warning):
print("---\nWARNING: one or more correlations had an edge-case/error and a 1.0 correlation was assigned\n"
"(likely due to only having a single row, containing non-NaN values for both correlated features)\n"
"Affected correlations:" + str(self.corr_warning))
# Auto-log to comet_ml if desired & present
self._comet_ml_logger = comet_ml_logger.CometLogger()
if self._comet_ml_logger._logging:
self.generate_comet_friendly_html()
self._comet_ml_logger.log_html(self._page_html)
self._comet_ml_logger.end()
|
(self, filepath='SWEETVIZ_REPORT.html', open_browser=True, layout='widescreen', scale=None)
|
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] |
708,825
|
sweetviz.dataframe_report
|
show_notebook
| null |
def show_notebook(self, w=None, h=None, scale=None, layout=None, filepath=None, file_layout=None, file_scale=None):
w = self.use_config_if_none(w, "notebook_width")
h = self.use_config_if_none(h, "notebook_height")
scale = float(self.use_config_if_none(scale, "notebook_scale"))
layout = self.use_config_if_none(layout, "notebook_layout")
if layout not in ['widescreen', 'vertical']:
raise ValueError(f"'layout' parameter must be either 'widescreen' or 'vertical'")
sv_html.load_layout_globals_from_config()
self.page_layout = layout
self.scale = scale
sv_html.set_summary_positions(self)
sv_html.generate_html_detail(self)
if self.associations_html_source:
self.associations_html_source = sv_html.generate_html_associations(self, "source")
if self.associations_html_compare:
self.associations_html_compare = sv_html.generate_html_associations(self, "compare")
self._page_html = sv_html.generate_html_dataframe_page(self)
width=w
height=h
if str(height).lower() == "full":
height = self.page_height
# Output to iFrame
import html
self._page_html = html.escape(self._page_html)
iframe = f' <iframe width="{width}" height="{height}" srcdoc="{self._page_html}" frameborder="0" allowfullscreen></iframe>'
from IPython.display import display
from IPython.display import HTML
display(HTML(iframe))
if filepath is not None:
# We cannot just write out the same HTML as the notebook, as that one has been processed so as to
# remove extraneous headings so it is nicely inserted into the notebook.
# Instead, just do something similar to the "show_html()" code, but without its less-relevant printouts etc.
# f = open(filepath, 'w', encoding="utf-8")
# f.write(self._page_html)
# f.close()
scale = float(self.use_config_if_none(file_scale, "html_scale"))
layout = self.use_config_if_none(file_layout, "html_layout")
if layout not in ['widescreen', 'vertical']:
raise ValueError(f"'layout' parameter for file output must be either 'widescreen' or 'vertical'")
sv_html.load_layout_globals_from_config()
self.page_layout = layout
self.scale = scale
sv_html.set_summary_positions(self)
sv_html.generate_html_detail(self)
if self.associations_html_source:
self.associations_html_source = sv_html.generate_html_associations(self, "source")
if self.associations_html_compare:
self.associations_html_compare = sv_html.generate_html_associations(self, "compare")
self._page_html = sv_html.generate_html_dataframe_page(self)
f = open(filepath, 'w', encoding="utf-8")
f.write(self._page_html)
f.close()
self.verbose_print(f"Report '{filepath}' was saved to storage.")
if len(self.corr_warning):
print("WARNING: one or more correlations had an edge-case/error and a 1.0 correlation was assigned\n"
"(likely due to only a single row containing non-NaN values for both correlated features)\n"
"Affected correlations:" + str(self.corr_warning))
# Auto-log to comet_ml if desired & present
self._comet_ml_logger = comet_ml_logger.CometLogger()
if self._comet_ml_logger._logging:
self.generate_comet_friendly_html()
self._comet_ml_logger.log_html(self._page_html)
self._comet_ml_logger.end()
|
(self, w=None, h=None, scale=None, layout=None, filepath=None, file_layout=None, file_scale=None)
|
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] |
708,826
|
sweetviz.dataframe_report
|
summarize_category_types
| null |
def summarize_category_types(self, this_df: pd.DataFrame, dest_dict: dict, skip: List[str], \
source_target_dict):
dest_dict["num_cat"] = len([x for x in self._features.values()
if (x["type"] == FeatureType.TYPE_CAT or x["type"] == FeatureType.TYPE_BOOL)
and x["name"] not in skip and x["name"] in this_df])
dest_dict["num_numerical"] = len([x for x in self._features.values()
if x["type"] == FeatureType.TYPE_NUM and x["name"] not in skip \
and x["name"] in this_df])
dest_dict["num_text"] = len([x for x in self._features.values()
if x["type"] == FeatureType.TYPE_TEXT and x["name"] not in skip \
and x["name"] in this_df])
if source_target_dict is not None and source_target_dict["name"] in this_df:
if source_target_dict["type"] == FeatureType.TYPE_NUM:
dest_dict["num_numerical"] = dest_dict["num_numerical"] + 1
elif source_target_dict["type"] == FeatureType.TYPE_CAT or source_target_dict["type"] == FeatureType.TYPE_BOOL:
dest_dict["num_cat"] = dest_dict["num_cat"] + 1
return
|
(self, this_df: pandas.core.frame.DataFrame, dest_dict: dict, skip: List[str], source_target_dict)
|
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] |
708,827
|
sweetviz.dataframe_report
|
summarize_dataframe
| null |
def summarize_dataframe(self, source: pd.DataFrame, name: str, target_dict: dict, skip: List[str]):
target_dict["name"] = name
target_dict["num_rows"] = len(source)
target_dict["num_columns"] = len(source.columns)
target_dict["num_skipped_columns"] = len(source.columns) - len([x for x in source.columns if x not in skip])
target_dict["memory_total"] = source.memory_usage(index=True, deep=True).sum()
if target_dict["num_rows"] > 0:
target_dict["memory_single_row"] = \
float(target_dict["memory_total"]) / target_dict["num_rows"]
else:
target_dict["memory_single_row"] = 0
target_dict["duplicates"] = NumWithPercent(sum(source.duplicated()), len(source))
target_dict["num_cmp_not_in_source"] = 0 # set later, as needed
|
(self, source: pandas.core.frame.DataFrame, name: str, target_dict: dict, skip: List[str])
|
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] |
708,828
|
sweetviz.dataframe_report
|
use_config_if_none
| null |
def use_config_if_none(self, passed_value, config_name):
if passed_value is None:
return config["Output_Defaults"][config_name]
return passed_value
|
(self, passed_value, config_name)
|
[
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] |
708,829
|
sweetviz.dataframe_report
|
verbose_print
| null |
def verbose_print(self, *args, **kwargs):
if self.verbosity_level == "full":
print(*args, **kwargs)
|
(self, *args, **kwargs)
|
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] |
708,830
|
sweetviz.feature_config
|
FeatureConfig
| null |
class FeatureConfig:
def __init__(self, skip: Tuple = None,
force_cat: Tuple = None, force_text: Tuple = None,
force_num: Tuple = None):
def make_list(param):
if type(param) == list or type(param) == tuple:
return param
elif type(param) == str:
return [param]
elif param is None:
return list()
raise ValueError("Invalid value passed in for FeatureConfig")
# NEW (12-14-2020): rename "index" features
def rename_index(list_of_feature_names):
return [x if x != "index" else "df_index" for x in list_of_feature_names]
self.skip = rename_index(make_list(skip))
self.force_cat = rename_index(make_list(force_cat))
self.force_text = rename_index(make_list(force_text))
self.force_num = rename_index(make_list(force_num))
def get_predetermined_type(self, feature_name: str):
if feature_name in self.skip:
return FeatureType.TYPE_SKIPPED
elif feature_name in self.force_cat:
return FeatureType.TYPE_CAT
elif feature_name in self.force_text:
return FeatureType.TYPE_TEXT
elif feature_name in self.force_num:
return FeatureType.TYPE_NUM
else:
return FeatureType.TYPE_UNKNOWN
def get_all_mentioned_features(self):
returned = list()
returned.extend(self.skip)
returned.extend(self.force_cat)
returned.extend(self.force_text)
returned.extend(self.force_num)
return returned
|
(skip: Tuple = None, force_cat: Tuple = None, force_text: Tuple = None, force_num: Tuple = None)
|
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] |
708,831
|
sweetviz.feature_config
|
__init__
| null |
def __init__(self, skip: Tuple = None,
force_cat: Tuple = None, force_text: Tuple = None,
force_num: Tuple = None):
def make_list(param):
if type(param) == list or type(param) == tuple:
return param
elif type(param) == str:
return [param]
elif param is None:
return list()
raise ValueError("Invalid value passed in for FeatureConfig")
# NEW (12-14-2020): rename "index" features
def rename_index(list_of_feature_names):
return [x if x != "index" else "df_index" for x in list_of_feature_names]
self.skip = rename_index(make_list(skip))
self.force_cat = rename_index(make_list(force_cat))
self.force_text = rename_index(make_list(force_text))
self.force_num = rename_index(make_list(force_num))
|
(self, skip: Optional[Tuple] = None, force_cat: Optional[Tuple] = None, force_text: Optional[Tuple] = None, force_num: Optional[Tuple] = None)
|
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] |
708,832
|
sweetviz.feature_config
|
get_all_mentioned_features
| null |
def get_all_mentioned_features(self):
returned = list()
returned.extend(self.skip)
returned.extend(self.force_cat)
returned.extend(self.force_text)
returned.extend(self.force_num)
return returned
|
(self)
|
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] |
708,833
|
sweetviz.feature_config
|
get_predetermined_type
| null |
def get_predetermined_type(self, feature_name: str):
if feature_name in self.skip:
return FeatureType.TYPE_SKIPPED
elif feature_name in self.force_cat:
return FeatureType.TYPE_CAT
elif feature_name in self.force_text:
return FeatureType.TYPE_TEXT
elif feature_name in self.force_num:
return FeatureType.TYPE_NUM
else:
return FeatureType.TYPE_UNKNOWN
|
(self, feature_name: str)
|
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] |
708,834
|
sweetviz.sv_public
|
analyze
| null |
def analyze(source: Union[pd.DataFrame, Tuple[pd.DataFrame, str]],
target_feat: str = None,
feat_cfg: FeatureConfig = None,
pairwise_analysis: str = 'auto'):
report = sweetviz.DataframeReport(source, target_feat, None,
pairwise_analysis, feat_cfg)
return report
|
(source: Union[pandas.core.frame.DataFrame, Tuple[pandas.core.frame.DataFrame, str]], target_feat: Optional[str] = None, feat_cfg: Optional[sweetviz.feature_config.FeatureConfig] = None, pairwise_analysis: str = 'auto')
|
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] |
708,836
|
sweetviz.sv_public
|
compare
| null |
def compare(source: Union[pd.DataFrame, Tuple[pd.DataFrame, str]],
compare: Union[pd.DataFrame, Tuple[pd.DataFrame, str]],
target_feat: str = None,
feat_cfg: FeatureConfig = None,
pairwise_analysis: str = 'auto'):
report = sweetviz.DataframeReport(source, target_feat, compare,
pairwise_analysis, feat_cfg)
return report
|
(source: Union[pandas.core.frame.DataFrame, Tuple[pandas.core.frame.DataFrame, str]], compare: Union[pandas.core.frame.DataFrame, Tuple[pandas.core.frame.DataFrame, str]], target_feat: Optional[str] = None, feat_cfg: Optional[sweetviz.feature_config.FeatureConfig] = None, pairwise_analysis: str = 'auto')
|
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] |
708,837
|
sweetviz.sv_public
|
compare_intra
| null |
def compare_intra(source_df: pd.DataFrame,
condition_series: pd.Series,
names: Tuple[str, str],
target_feat: str = None,
feat_cfg: FeatureConfig = None,
pairwise_analysis: str = 'auto'):
if len(source_df) != len(condition_series):
raise ValueError('compare_intra() expects source_df and '
'condition_series to be the same length')
if condition_series.dtypes != bool:
raise ValueError('compare_intra() requires condition_series '
'to be boolean length')
data_true = source_df[condition_series]
data_false = source_df[condition_series == False]
if len(data_false) == 0:
raise ValueError('compare_intra(): FALSE dataset is empty, nothing to compare!')
if len(data_true) == 0:
raise ValueError('compare_intra(): TRUE dataset is empty, nothing to compare!')
report = sweetviz.DataframeReport([data_true, names[0]], target_feat,
[data_false, names[1]],
pairwise_analysis, feat_cfg)
return report
|
(source_df: pandas.core.frame.DataFrame, condition_series: pandas.core.series.Series, names: Tuple[str, str], target_feat: Optional[str] = None, feat_cfg: Optional[sweetviz.feature_config.FeatureConfig] = None, pairwise_analysis: str = 'auto')
|
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] |
708,860
|
pypi_simple.errors
|
DigestMismatchError
|
Raised by `PyPISimple.download_package()` and
`PyPISimple.get_package_metadata()` with ``verify=True`` when the digest of
the downloaded data does not match the expected value
|
class DigestMismatchError(ValueError):
"""
Raised by `PyPISimple.download_package()` and
`PyPISimple.get_package_metadata()` with ``verify=True`` when the digest of
the downloaded data does not match the expected value
"""
def __init__(
self, algorithm: str, expected_digest: str, actual_digest: str
) -> None:
#: The name of the digest algorithm used
self.algorithm = algorithm
#: The expected digest
self.expected_digest = expected_digest
#: The digest of the data that was actually received
self.actual_digest = actual_digest
def __str__(self) -> str:
return (
f"{self.algorithm} digest of downloaded data is"
f" {self.actual_digest!r} instead of expected {self.expected_digest!r}"
)
|
(algorithm: str, expected_digest: str, actual_digest: str) -> None
|
[
0.03246131166815758,
-0.023743726313114166,
-0.025216877460479736,
0.06734899431467056,
0.020762762054800987,
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0.0028683114796876907,
-0.006772161461412907,
0.07286030799150467,
0.017738468945026398,
0.04856198653578758,
0.06370944529771805,
0.016811251640319824,
0.00016613568004686385,
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0.04003504291176796,
0.004317631945014,
0.09442030638456345,
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0.04461047425866127,
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0.03166407719254494,
0.08062467724084854,
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0.058752723038196564,
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] |
708,861
|
pypi_simple.errors
|
__init__
| null |
def __init__(
self, algorithm: str, expected_digest: str, actual_digest: str
) -> None:
#: The name of the digest algorithm used
self.algorithm = algorithm
#: The expected digest
self.expected_digest = expected_digest
#: The digest of the data that was actually received
self.actual_digest = actual_digest
|
(self, algorithm: str, expected_digest: str, actual_digest: str) -> NoneType
|
[
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] |
708,862
|
pypi_simple.errors
|
__str__
| null |
def __str__(self) -> str:
return (
f"{self.algorithm} digest of downloaded data is"
f" {self.actual_digest!r} instead of expected {self.expected_digest!r}"
)
|
(self) -> str
|
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] |
708,863
|
pypi_simple.classes
|
DistributionPackage
|
Information about a versioned archive file from which a Python project
release can be installed
.. versionchanged:: 1.0.0
``yanked`` field replaced with `is_yanked` and `yanked_reason`
|
class DistributionPackage:
"""
Information about a versioned archive file from which a Python project
release can be installed
.. versionchanged:: 1.0.0
``yanked`` field replaced with `is_yanked` and `yanked_reason`
"""
#: The basename of the package file
filename: str
#: The URL from which the package file can be downloaded, with any hash
#: digest fragment removed
url: str
#: The name of the project (as extracted from the filename), or `None` if
#: the filename cannot be parsed
project: Optional[str]
#: The project version (as extracted from the filename), or `None` if the
#: filename cannot be parsed
version: Optional[str]
#: The type of the package, or `None` if the filename cannot be parsed.
#: The recognized package types are:
#:
#: - ``'dumb'``
#: - ``'egg'``
#: - ``'msi'``
#: - ``'rpm'``
#: - ``'sdist'``
#: - ``'wheel'``
#: - ``'wininst'``
package_type: Optional[str]
#: A collection of hash digests for the file as a `dict` mapping hash
#: algorithm names to hex-encoded digest strings
digests: dict[str, str]
#: An optional version specifier string declaring the Python version(s) in
#: which the package can be installed
requires_python: Optional[str]
#: Whether the package file is accompanied by a PGP signature file. This
#: is `None` if the package repository does not report such information.
has_sig: Optional[bool]
#: Whether the package file has been "yanked" from the package repository
#: (meaning that it should only be installed when that specific version is
#: requested)
is_yanked: bool = False
#: If the package file has been "yanked" and a reason is given, this
#: attribute will contain that (possibly empty) reason
yanked_reason: Optional[str] = None
#: Whether the package file is accompanied by a Core Metadata file. This
#: is `None` if the package repository does not report such information.
has_metadata: Optional[bool] = None
#: If the package repository provides a Core Metadata file for the package,
#: this is a (possibly empty) `dict` of digests of the file, given as a
#: mapping from hash algorithm names to hex-encoded digest strings;
#: otherwise, it is `None`
metadata_digests: Optional[dict[str, str]] = None
#: .. versionadded:: 1.1.0
#:
#: The size of the package file in bytes, or `None` if not specified
#: [#pep700]_.
size: Optional[int] = None
#: .. versionadded:: 1.1.0
#:
#: The time at which the package file was uploaded to the server, or `None`
#: if not specified [#pep700]_.
upload_time: Optional[datetime] = None
@property
def sig_url(self) -> str:
"""
The URL of the package file's PGP signature file, if it exists; cf.
`has_sig`
"""
u = urlparse(self.url)
return urlunparse((u[0], u[1], u[2] + ".asc", "", "", ""))
@property
def metadata_url(self) -> str:
"""
The URL of the package file's Core Metadata file, if it exists; cf.
`has_metadata`
"""
u = urlparse(self.url)
return urlunparse((u[0], u[1], u[2] + ".metadata", "", "", ""))
@classmethod
def from_link(
cls, link: Link, project_hint: Optional[str] = None
) -> DistributionPackage:
"""
Construct a `DistributionPackage` from a `Link` on a project page.
:param Link link: a link parsed from a project page
:param Optional[str] project_hint: Optionally, the expected value for
the project name (usually the name of the project page on which the
link was found). The name does not need to be normalized.
:rtype: DistributionPackage
"""
try:
project, version, pkg_type = parse_filename(link.text, project_hint)
except UnparsableFilenameError:
project = None
version = None
pkg_type = None
urlbits = urlparse(link.url)
dgst_name, _, dgst_value = urlbits.fragment.partition("=")
digests = {dgst_name: dgst_value} if dgst_value else {}
url = urlunparse(urlbits._replace(fragment=""))
has_sig: Optional[bool]
gpg_sig = link.get_str_attrib("data-gpg-sig")
if gpg_sig is not None:
has_sig = gpg_sig.lower() == "true"
else:
has_sig = None
mddigest = link.get_str_attrib("data-core-metadata")
metadata_digests: Optional[dict[str, str]]
has_metadata = None
if mddigest is not None:
metadata_digests = {}
m = re.fullmatch(r"(\w+)=([0-9A-Fa-f]+)", mddigest)
if m:
metadata_digests[m[1]] = m[2]
has_metadata = bool(m) or mddigest.lower() == "true"
else:
metadata_digests = None
yanked_reason = link.get_str_attrib("data-yanked")
return cls(
filename=link.text,
url=url,
has_sig=has_sig,
requires_python=link.get_str_attrib("data-requires-python"),
project=project,
version=version,
package_type=pkg_type,
is_yanked=yanked_reason is not None,
yanked_reason=yanked_reason,
digests=digests,
metadata_digests=metadata_digests,
has_metadata=has_metadata,
)
@classmethod
def from_json_data(
cls,
data: Any,
project_hint: Optional[str] = None,
base_url: Optional[str] = None,
) -> DistributionPackage:
"""
Construct a `DistributionPackage` from an object taken from the
``"files"`` field of a :pep:`691` project detail JSON response.
:param data: a file dictionary
:param Optional[str] project_hint: Optionally, the expected value for
the project name (usually the name of the project page on which the
link was found). The name does not need to be normalized.
:param Optional[str] base_url: an optional URL to join to the front of
a relative file URL (usually the URL of the page being parsed)
:rtype: DistributionPackage
:raises ValueError: if ``data`` is not a `dict`
"""
return cls.from_file(File.model_validate(data), project_hint, base_url)
@classmethod
def from_file(
cls,
file: File,
project_hint: Optional[str] = None,
base_url: Optional[str] = None,
) -> DistributionPackage:
""":meta private:"""
try:
project, version, pkg_type = parse_filename(file.filename, project_hint)
except UnparsableFilenameError:
project = None
version = None
pkg_type = None
return cls(
filename=file.filename,
url=basejoin(base_url, file.url),
has_sig=file.gpg_sig,
requires_python=file.requires_python,
project=project,
version=version,
package_type=pkg_type,
is_yanked=file.is_yanked,
yanked_reason=file.yanked_reason,
digests=file.hashes,
metadata_digests=file.metadata_digests,
has_metadata=file.has_metadata,
size=file.size,
upload_time=file.upload_time,
)
|
(filename: str, url: str, project: Optional[str], version: Optional[str], package_type: Optional[str], digests: dict[str, str], requires_python: Optional[str], has_sig: Optional[bool], is_yanked: bool = False, yanked_reason: Optional[str] = None, has_metadata: Optional[bool] = None, metadata_digests: Optional[dict[str, str]] = None, size: Optional[int] = None, upload_time: Optional[datetime.datetime] = None) -> None
|
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] |
708,864
|
pypi_simple.classes
|
__eq__
| null |
from __future__ import annotations
from dataclasses import dataclass, field
from datetime import datetime
import re
from typing import Any, Optional
from urllib.parse import urlparse, urlunparse
from mailbits import ContentType
import requests
from .errors import UnparsableFilenameError, UnsupportedContentTypeError
from .filenames import parse_filename
from .html import Link, RepositoryPage
from .pep691 import File, Project, ProjectList
from .util import basejoin, check_repo_version
@dataclass
class DistributionPackage:
"""
Information about a versioned archive file from which a Python project
release can be installed
.. versionchanged:: 1.0.0
``yanked`` field replaced with `is_yanked` and `yanked_reason`
"""
#: The basename of the package file
filename: str
#: The URL from which the package file can be downloaded, with any hash
#: digest fragment removed
url: str
#: The name of the project (as extracted from the filename), or `None` if
#: the filename cannot be parsed
project: Optional[str]
#: The project version (as extracted from the filename), or `None` if the
#: filename cannot be parsed
version: Optional[str]
#: The type of the package, or `None` if the filename cannot be parsed.
#: The recognized package types are:
#:
#: - ``'dumb'``
#: - ``'egg'``
#: - ``'msi'``
#: - ``'rpm'``
#: - ``'sdist'``
#: - ``'wheel'``
#: - ``'wininst'``
package_type: Optional[str]
#: A collection of hash digests for the file as a `dict` mapping hash
#: algorithm names to hex-encoded digest strings
digests: dict[str, str]
#: An optional version specifier string declaring the Python version(s) in
#: which the package can be installed
requires_python: Optional[str]
#: Whether the package file is accompanied by a PGP signature file. This
#: is `None` if the package repository does not report such information.
has_sig: Optional[bool]
#: Whether the package file has been "yanked" from the package repository
#: (meaning that it should only be installed when that specific version is
#: requested)
is_yanked: bool = False
#: If the package file has been "yanked" and a reason is given, this
#: attribute will contain that (possibly empty) reason
yanked_reason: Optional[str] = None
#: Whether the package file is accompanied by a Core Metadata file. This
#: is `None` if the package repository does not report such information.
has_metadata: Optional[bool] = None
#: If the package repository provides a Core Metadata file for the package,
#: this is a (possibly empty) `dict` of digests of the file, given as a
#: mapping from hash algorithm names to hex-encoded digest strings;
#: otherwise, it is `None`
metadata_digests: Optional[dict[str, str]] = None
#: .. versionadded:: 1.1.0
#:
#: The size of the package file in bytes, or `None` if not specified
#: [#pep700]_.
size: Optional[int] = None
#: .. versionadded:: 1.1.0
#:
#: The time at which the package file was uploaded to the server, or `None`
#: if not specified [#pep700]_.
upload_time: Optional[datetime] = None
@property
def sig_url(self) -> str:
"""
The URL of the package file's PGP signature file, if it exists; cf.
`has_sig`
"""
u = urlparse(self.url)
return urlunparse((u[0], u[1], u[2] + ".asc", "", "", ""))
@property
def metadata_url(self) -> str:
"""
The URL of the package file's Core Metadata file, if it exists; cf.
`has_metadata`
"""
u = urlparse(self.url)
return urlunparse((u[0], u[1], u[2] + ".metadata", "", "", ""))
@classmethod
def from_link(
cls, link: Link, project_hint: Optional[str] = None
) -> DistributionPackage:
"""
Construct a `DistributionPackage` from a `Link` on a project page.
:param Link link: a link parsed from a project page
:param Optional[str] project_hint: Optionally, the expected value for
the project name (usually the name of the project page on which the
link was found). The name does not need to be normalized.
:rtype: DistributionPackage
"""
try:
project, version, pkg_type = parse_filename(link.text, project_hint)
except UnparsableFilenameError:
project = None
version = None
pkg_type = None
urlbits = urlparse(link.url)
dgst_name, _, dgst_value = urlbits.fragment.partition("=")
digests = {dgst_name: dgst_value} if dgst_value else {}
url = urlunparse(urlbits._replace(fragment=""))
has_sig: Optional[bool]
gpg_sig = link.get_str_attrib("data-gpg-sig")
if gpg_sig is not None:
has_sig = gpg_sig.lower() == "true"
else:
has_sig = None
mddigest = link.get_str_attrib("data-core-metadata")
metadata_digests: Optional[dict[str, str]]
has_metadata = None
if mddigest is not None:
metadata_digests = {}
m = re.fullmatch(r"(\w+)=([0-9A-Fa-f]+)", mddigest)
if m:
metadata_digests[m[1]] = m[2]
has_metadata = bool(m) or mddigest.lower() == "true"
else:
metadata_digests = None
yanked_reason = link.get_str_attrib("data-yanked")
return cls(
filename=link.text,
url=url,
has_sig=has_sig,
requires_python=link.get_str_attrib("data-requires-python"),
project=project,
version=version,
package_type=pkg_type,
is_yanked=yanked_reason is not None,
yanked_reason=yanked_reason,
digests=digests,
metadata_digests=metadata_digests,
has_metadata=has_metadata,
)
@classmethod
def from_json_data(
cls,
data: Any,
project_hint: Optional[str] = None,
base_url: Optional[str] = None,
) -> DistributionPackage:
"""
Construct a `DistributionPackage` from an object taken from the
``"files"`` field of a :pep:`691` project detail JSON response.
:param data: a file dictionary
:param Optional[str] project_hint: Optionally, the expected value for
the project name (usually the name of the project page on which the
link was found). The name does not need to be normalized.
:param Optional[str] base_url: an optional URL to join to the front of
a relative file URL (usually the URL of the page being parsed)
:rtype: DistributionPackage
:raises ValueError: if ``data`` is not a `dict`
"""
return cls.from_file(File.model_validate(data), project_hint, base_url)
@classmethod
def from_file(
cls,
file: File,
project_hint: Optional[str] = None,
base_url: Optional[str] = None,
) -> DistributionPackage:
""":meta private:"""
try:
project, version, pkg_type = parse_filename(file.filename, project_hint)
except UnparsableFilenameError:
project = None
version = None
pkg_type = None
return cls(
filename=file.filename,
url=basejoin(base_url, file.url),
has_sig=file.gpg_sig,
requires_python=file.requires_python,
project=project,
version=version,
package_type=pkg_type,
is_yanked=file.is_yanked,
yanked_reason=file.yanked_reason,
digests=file.hashes,
metadata_digests=file.metadata_digests,
has_metadata=file.has_metadata,
size=file.size,
upload_time=file.upload_time,
)
|
(self, other)
|
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] |
708,866
|
pypi_simple.classes
|
__repr__
| null |
@dataclass
class ProjectPage:
"""A parsed project page from a simple repository"""
#: The name of the project the page is for
project: str
#: A list of packages (as `DistributionPackage` objects) listed on the
#: project page
packages: list[DistributionPackage]
#: The repository version reported by the page, or `None` if not specified
repository_version: Optional[str]
#: The value of the :mailheader:`X-PyPI-Last-Serial` response header
#: returned when fetching the page, or `None` if not specified
last_serial: Optional[str]
#: .. versionadded:: 1.1.0
#:
#: A list of the project's versions, or `None` if not specified [#pep700]_.
versions: Optional[list[str]] = None
#: .. versionadded:: 1.4.0
#:
#: Repository "tracks" metadata. See `PEP 708`__.
#:
#: __ https://peps.python.org/pep-0708/#repository-tracks-metadata
tracks: list[str] = field(default_factory=list)
#: .. versionadded:: 1.4.0
#:
#: Repository "alternate locations" metadata. See `PEP 708`__.
#:
#: __ https://peps.python.org/pep-0708/#alternate-locations-metadata
alternate_locations: list[str] = field(default_factory=list)
@classmethod
def from_html(
cls,
project: str,
html: str | bytes,
base_url: Optional[str] = None,
from_encoding: Optional[str] = None,
) -> ProjectPage:
"""
.. versionadded:: 1.0.0
Parse an HTML project page from a simple repository into a
`ProjectPage`. Note that the `last_serial` attribute will be `None`.
:param str project: The name of the project whose page is being parsed
:param html: the HTML to parse
:type html: str or bytes
:param Optional[str] base_url:
an optional URL to join to the front of the packages' URLs (usually
the URL of the page being parsed)
:param Optional[str] from_encoding:
an optional hint to Beautiful Soup as to the encoding of ``html``
when it is `bytes` (usually the ``charset`` parameter of the
response's :mailheader:`Content-Type` header)
:rtype: ProjectPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
"""
page = RepositoryPage.from_html(html, base_url, from_encoding)
return cls(
project=project,
packages=[
DistributionPackage.from_link(link, project) for link in page.links
],
repository_version=page.repository_version,
last_serial=None,
versions=None,
tracks=page.tracks,
alternate_locations=page.alternate_locations,
)
@classmethod
def from_json_data(cls, data: Any, base_url: Optional[str] = None) -> ProjectPage:
"""
.. versionadded:: 1.0.0
Parse an object decoded from an
:mimetype:`application/vnd.pypi.simple.v1+json` response (See
:pep:`691`) into a `ProjectPage`. The `last_serial` attribute will be
set to the value of the ``.meta._last-serial`` field, if any.
:param data: The decoded body of the JSON response
:param Optional[str] base_url:
an optional URL to join to the front of any relative file URLs
(usually the URL of the page being parsed)
:rtype: ProjectPage
:raises ValueError: if ``data`` is not a `dict`
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
"""
project = Project.model_validate(data)
check_repo_version(project.meta.api_version)
return ProjectPage(
project=project.name,
packages=[
DistributionPackage.from_file(f, project.name, base_url)
for f in project.files
],
repository_version=project.meta.api_version,
last_serial=project.meta.last_serial,
versions=project.versions,
tracks=project.meta.tracks,
alternate_locations=project.meta.alternate_locations,
)
@classmethod
def from_response(cls, r: requests.Response, project: str) -> ProjectPage:
"""
.. versionadded:: 1.0.0
Parse a project page from a `requests.Response` returned from a
(non-streaming) request to a simple repository, and return a
`ProjectPage`.
:param requests.Response r: the response object to parse
:param str project: the name of the project whose page is being parsed
:rtype: ProjectPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
:raises UnsupportedContentTypeError:
if the response has an unsupported :mailheader:`Content-Type`
"""
ct = ContentType.parse(r.headers.get("content-type", "text/html"))
if ct.content_type == "application/vnd.pypi.simple.v1+json":
page = cls.from_json_data(r.json(), r.url)
elif (
ct.content_type == "application/vnd.pypi.simple.v1+html"
or ct.content_type == "text/html"
):
page = cls.from_html(
project=project,
html=r.content,
base_url=r.url,
from_encoding=ct.params.get("charset"),
)
else:
raise UnsupportedContentTypeError(r.url, str(ct))
if page.last_serial is None:
page.last_serial = r.headers.get("X-PyPI-Last-Serial")
return page
|
(self)
|
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] |
708,867
|
pypi_simple.classes
|
IndexPage
|
A parsed index/root page from a simple repository
|
class IndexPage:
"""A parsed index/root page from a simple repository"""
#: The project names listed in the index. The names are not normalized.
projects: list[str]
#: The repository version reported by the page, or `None` if not specified
repository_version: Optional[str]
#: The value of the :mailheader:`X-PyPI-Last-Serial` response header
#: returned when fetching the page, or `None` if not specified
last_serial: Optional[str]
@classmethod
def from_html(
cls, html: str | bytes, from_encoding: Optional[str] = None
) -> IndexPage:
"""
.. versionadded:: 1.0.0
Parse an HTML index/root page from a simple repository into an
`IndexPage`. Note that the `last_serial` attribute will be `None`.
:param html: the HTML to parse
:type html: str or bytes
:param Optional[str] from_encoding:
an optional hint to Beautiful Soup as to the encoding of ``html``
when it is `bytes` (usually the ``charset`` parameter of the
response's :mailheader:`Content-Type` header)
:rtype: IndexPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
"""
page = RepositoryPage.from_html(html, from_encoding=from_encoding)
return cls(
projects=[link.text for link in page.links],
repository_version=page.repository_version,
last_serial=None,
)
@classmethod
def from_json_data(cls, data: Any) -> IndexPage:
"""
.. versionadded:: 1.0.0
Parse an object decoded from an
:mimetype:`application/vnd.pypi.simple.v1+json` response (See
:pep:`691`) into an `IndexPage`. The `last_serial` attribute will be
set to the value of the ``.meta._last-serial`` field, if any.
:param data: The decoded body of the JSON response
:rtype: IndexPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
:raises ValueError: if ``data`` is not a `dict`
"""
plist = ProjectList.model_validate(data)
check_repo_version(plist.meta.api_version)
return IndexPage(
projects=[p.name for p in plist.projects],
repository_version=plist.meta.api_version,
last_serial=plist.meta.last_serial,
)
@classmethod
def from_response(cls, r: requests.Response) -> IndexPage:
"""
.. versionadded:: 1.0.0
Parse an index page from a `requests.Response` returned from a
(non-streaming) request to a simple repository, and return an
`IndexPage`.
:param requests.Response r: the response object to parse
:rtype: IndexPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
:raises UnsupportedContentTypeError:
if the response has an unsupported :mailheader:`Content-Type`
"""
ct = ContentType.parse(r.headers.get("content-type", "text/html"))
if ct.content_type == "application/vnd.pypi.simple.v1+json":
page = cls.from_json_data(r.json())
elif (
ct.content_type == "application/vnd.pypi.simple.v1+html"
or ct.content_type == "text/html"
):
page = cls.from_html(html=r.content, from_encoding=ct.params.get("charset"))
else:
raise UnsupportedContentTypeError(r.url, str(ct))
if page.last_serial is None:
page.last_serial = r.headers.get("X-PyPI-Last-Serial")
return page
|
(projects: list[str], repository_version: Optional[str], last_serial: Optional[str]) -> None
|
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] |
708,871
|
pypi_simple.html
|
Link
|
A hyperlink extracted from an HTML page
|
class Link:
"""A hyperlink extracted from an HTML page"""
#: The text inside the link tag, with leading & trailing whitespace removed
#: and with any tags nested inside the link tags ignored
text: str
#: The URL that the link points to, resolved relative to the URL of the
#: source HTML page and relative to the page's ``<base>`` href value, if
#: any
url: str
#: A dictionary of attributes set on the link tag (including the unmodified
#: ``href`` attribute). Keys are converted to lowercase. Most attributes
#: have `str` values, but some (referred to as "CDATA list attributes" by
#: the HTML spec; e.g., ``"class"``) have values of type ``list[str]``
#: instead.
attrs: dict[str, str | list[str]]
def get_str_attrib(self, attrib: str) -> Optional[str]:
""":meta private:"""
value = self.attrs.get(attrib)
if value is not None:
assert isinstance(value, str)
return value
|
(text: str, url: str, attrs: dict[str, str | list[str]]) -> None
|
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708,872
|
pypi_simple.html
|
__eq__
| null |
from __future__ import annotations
from dataclasses import dataclass
import re
from typing import Optional
from urllib.parse import urljoin
from bs4 import BeautifulSoup, Tag
from .util import basejoin, check_repo_version
@dataclass
class RepositoryPage:
"""
.. versionadded:: 1.0.0
A parsed HTML page from a :pep:`503` simple repository
"""
#: The repository version, if any, reported by the page in accordance with
#: :pep:`629`
repository_version: Optional[str]
#: A list of hyperlinks found on the page
links: list[Link]
#: .. versionadded:: 1.4.0
#:
#: ``<meta/>`` tags found on the page whose ``name`` attributes start with
#: ``pypi:``. This is a dict in which the keys are ``name`` attributes
#: with leading ``"pypi:"`` removed and in which the values are the
#: corresponding ``content`` attributes.
pypi_meta: dict[str, list[str]]
@property
def tracks(self) -> list[str]:
"""
.. versionadded:: 1.4.0
Repository "tracks" metadata. See `PEP 708`__.
__ https://peps.python.org/pep-0708/#repository-tracks-metadata
"""
return self.pypi_meta.get("tracks", [])
@property
def alternate_locations(self) -> list[str]:
"""
.. versionadded:: 1.4.0
Repository "alternate locations" metadata. See `PEP 708`__.
__ https://peps.python.org/pep-0708/#alternate-locations-metadata
"""
return self.pypi_meta.get("alternate-locations", [])
@classmethod
def from_html(
cls,
html: str | bytes,
base_url: Optional[str] = None,
from_encoding: Optional[str] = None,
) -> RepositoryPage:
"""
Parse an HTML page from a simple repository into a `RepositoryPage`.
:param html: the HTML to parse
:type html: str or bytes
:param Optional[str] base_url:
an optional URL to join to the front of the links' URLs (usually
the URL of the page being parsed)
:param Optional[str] from_encoding:
an optional hint to Beautiful Soup as to the encoding of ``html``
when it is `bytes` (usually the ``charset`` parameter of the
response's :mailheader:`Content-Type` header)
:rtype: RepositoryPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
"""
soup = BeautifulSoup(html, "html.parser", from_encoding=from_encoding)
base_tag = soup.find("base", href=True)
if base_tag is not None:
assert isinstance(base_tag, Tag)
href = base_tag["href"]
assert isinstance(href, str)
if base_url is None:
base_url = href
else:
base_url = urljoin(base_url, href)
meta: dict[str, list[str]] = {}
for tag in soup.find_all(
"meta", attrs={"name": re.compile(r"^pypi:"), "content": True}
):
assert isinstance(tag, Tag)
name = tag["name"]
assert isinstance(name, str)
assert name.startswith("pypi:")
content = tag["content"]
assert isinstance(content, str)
meta.setdefault(name[5:], []).append(content)
try:
repository_version = meta["repository-version"][0]
except LookupError:
repository_version = None
if repository_version is not None:
check_repo_version(repository_version)
links = []
for link in soup.find_all("a", href=True):
links.append(
Link(
text="".join(link.strings).strip(),
url=basejoin(base_url, link["href"]),
attrs=link.attrs,
)
)
return cls(repository_version=repository_version, links=links, pypi_meta=meta)
|
(self, other)
|
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708,875
|
pypi_simple.html
|
get_str_attrib
|
:meta private:
|
def get_str_attrib(self, attrib: str) -> Optional[str]:
""":meta private:"""
value = self.attrs.get(attrib)
if value is not None:
assert isinstance(value, str)
return value
|
(self, attrib: str) -> Optional[str]
|
[
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] |
708,876
|
pypi_simple.errors
|
NoDigestsError
|
Raised by `PyPISimple.download_package()` and
`PyPISimple.get_package_metadata()` with ``verify=True`` when the given
package or package metadata does not have any digests with known algorithms
|
class NoDigestsError(ValueError):
"""
Raised by `PyPISimple.download_package()` and
`PyPISimple.get_package_metadata()` with ``verify=True`` when the given
package or package metadata does not have any digests with known algorithms
"""
pass
| null |
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] |
708,877
|
pypi_simple.client
|
NoMetadataError
|
.. versionadded:: 1.3.0
Raised by `PyPISimple.get_package_metadata()` when a request for
distribution metadata fails with a 404 error code
|
class NoMetadataError(Exception):
"""
.. versionadded:: 1.3.0
Raised by `PyPISimple.get_package_metadata()` when a request for
distribution metadata fails with a 404 error code
"""
def __init__(self, filename: str) -> None:
#: The filename of the package whose metadata was requested
self.filename = filename
def __str__(self) -> str:
return f"No distribution metadata found for {self.filename}"
|
(filename: 'str') -> 'None'
|
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708,878
|
pypi_simple.client
|
__init__
| null |
def __init__(self, filename: str) -> None:
#: The filename of the package whose metadata was requested
self.filename = filename
|
(self, filename: str) -> NoneType
|
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708,879
|
pypi_simple.client
|
__str__
| null |
def __str__(self) -> str:
return f"No distribution metadata found for {self.filename}"
|
(self) -> str
|
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] |
708,880
|
pypi_simple.client
|
NoSuchProjectError
|
Raised by `PyPISimple.get_project_page()` when a request for a project
fails with a 404 error code
|
class NoSuchProjectError(Exception):
"""
Raised by `PyPISimple.get_project_page()` when a request for a project
fails with a 404 error code
"""
def __init__(self, project: str, url: str) -> None:
#: The name of the project requested
self.project = project
#: The URL to which the failed request was made
self.url = url
def __str__(self) -> str:
return f"No details about project {self.project!r} available at {self.url}"
|
(project: 'str', url: 'str') -> 'None'
|
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] |
708,881
|
pypi_simple.client
|
__init__
| null |
def __init__(self, project: str, url: str) -> None:
#: The name of the project requested
self.project = project
#: The URL to which the failed request was made
self.url = url
|
(self, project: str, url: str) -> NoneType
|
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708,882
|
pypi_simple.client
|
__str__
| null |
def __str__(self) -> str:
return f"No details about project {self.project!r} available at {self.url}"
|
(self) -> str
|
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] |
708,883
|
pypi_simple.progress
|
ProgressTracker
|
A `typing.Protocol` for progress trackers. A progress tracker must be
usable as a context manager whose ``__enter__`` method performs startup &
returns itself and whose ``__exit__`` method performs shutdown/cleanup. In
addition, a progress tracker must have an ``update(increment: int)`` method
that will be called with the size of each downloaded file chunk.
|
class ProgressTracker(Protocol):
"""
A `typing.Protocol` for progress trackers. A progress tracker must be
usable as a context manager whose ``__enter__`` method performs startup &
returns itself and whose ``__exit__`` method performs shutdown/cleanup. In
addition, a progress tracker must have an ``update(increment: int)`` method
that will be called with the size of each downloaded file chunk.
"""
def __enter__(self) -> Self:
...
def __exit__(
self,
exc_type: Optional[type[BaseException]],
exc_val: Optional[BaseException],
exc_tb: Optional[TracebackType],
) -> Optional[bool]:
...
def update(self, increment: int) -> None:
...
|
(*args, **kwargs)
|
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0.06969712674617767
] |
708,884
|
pypi_simple.progress
|
__enter__
| null |
def __enter__(self) -> Self:
...
|
(self) -> 'Self'
|
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] |
708,885
|
pypi_simple.progress
|
__exit__
| null |
def __exit__(
self,
exc_type: Optional[type[BaseException]],
exc_val: Optional[BaseException],
exc_tb: Optional[TracebackType],
) -> Optional[bool]:
...
|
(self, exc_type: Optional[type[BaseException]], exc_val: Optional[BaseException], exc_tb: Optional[traceback]) -> Optional[bool]
|
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708,888
|
pypi_simple.progress
|
update
| null |
def update(self, increment: int) -> None:
...
|
(self, increment: int) -> NoneType
|
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] |
708,889
|
pypi_simple.classes
|
ProjectPage
|
A parsed project page from a simple repository
|
class ProjectPage:
"""A parsed project page from a simple repository"""
#: The name of the project the page is for
project: str
#: A list of packages (as `DistributionPackage` objects) listed on the
#: project page
packages: list[DistributionPackage]
#: The repository version reported by the page, or `None` if not specified
repository_version: Optional[str]
#: The value of the :mailheader:`X-PyPI-Last-Serial` response header
#: returned when fetching the page, or `None` if not specified
last_serial: Optional[str]
#: .. versionadded:: 1.1.0
#:
#: A list of the project's versions, or `None` if not specified [#pep700]_.
versions: Optional[list[str]] = None
#: .. versionadded:: 1.4.0
#:
#: Repository "tracks" metadata. See `PEP 708`__.
#:
#: __ https://peps.python.org/pep-0708/#repository-tracks-metadata
tracks: list[str] = field(default_factory=list)
#: .. versionadded:: 1.4.0
#:
#: Repository "alternate locations" metadata. See `PEP 708`__.
#:
#: __ https://peps.python.org/pep-0708/#alternate-locations-metadata
alternate_locations: list[str] = field(default_factory=list)
@classmethod
def from_html(
cls,
project: str,
html: str | bytes,
base_url: Optional[str] = None,
from_encoding: Optional[str] = None,
) -> ProjectPage:
"""
.. versionadded:: 1.0.0
Parse an HTML project page from a simple repository into a
`ProjectPage`. Note that the `last_serial` attribute will be `None`.
:param str project: The name of the project whose page is being parsed
:param html: the HTML to parse
:type html: str or bytes
:param Optional[str] base_url:
an optional URL to join to the front of the packages' URLs (usually
the URL of the page being parsed)
:param Optional[str] from_encoding:
an optional hint to Beautiful Soup as to the encoding of ``html``
when it is `bytes` (usually the ``charset`` parameter of the
response's :mailheader:`Content-Type` header)
:rtype: ProjectPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
"""
page = RepositoryPage.from_html(html, base_url, from_encoding)
return cls(
project=project,
packages=[
DistributionPackage.from_link(link, project) for link in page.links
],
repository_version=page.repository_version,
last_serial=None,
versions=None,
tracks=page.tracks,
alternate_locations=page.alternate_locations,
)
@classmethod
def from_json_data(cls, data: Any, base_url: Optional[str] = None) -> ProjectPage:
"""
.. versionadded:: 1.0.0
Parse an object decoded from an
:mimetype:`application/vnd.pypi.simple.v1+json` response (See
:pep:`691`) into a `ProjectPage`. The `last_serial` attribute will be
set to the value of the ``.meta._last-serial`` field, if any.
:param data: The decoded body of the JSON response
:param Optional[str] base_url:
an optional URL to join to the front of any relative file URLs
(usually the URL of the page being parsed)
:rtype: ProjectPage
:raises ValueError: if ``data`` is not a `dict`
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
"""
project = Project.model_validate(data)
check_repo_version(project.meta.api_version)
return ProjectPage(
project=project.name,
packages=[
DistributionPackage.from_file(f, project.name, base_url)
for f in project.files
],
repository_version=project.meta.api_version,
last_serial=project.meta.last_serial,
versions=project.versions,
tracks=project.meta.tracks,
alternate_locations=project.meta.alternate_locations,
)
@classmethod
def from_response(cls, r: requests.Response, project: str) -> ProjectPage:
"""
.. versionadded:: 1.0.0
Parse a project page from a `requests.Response` returned from a
(non-streaming) request to a simple repository, and return a
`ProjectPage`.
:param requests.Response r: the response object to parse
:param str project: the name of the project whose page is being parsed
:rtype: ProjectPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
:raises UnsupportedContentTypeError:
if the response has an unsupported :mailheader:`Content-Type`
"""
ct = ContentType.parse(r.headers.get("content-type", "text/html"))
if ct.content_type == "application/vnd.pypi.simple.v1+json":
page = cls.from_json_data(r.json(), r.url)
elif (
ct.content_type == "application/vnd.pypi.simple.v1+html"
or ct.content_type == "text/html"
):
page = cls.from_html(
project=project,
html=r.content,
base_url=r.url,
from_encoding=ct.params.get("charset"),
)
else:
raise UnsupportedContentTypeError(r.url, str(ct))
if page.last_serial is None:
page.last_serial = r.headers.get("X-PyPI-Last-Serial")
return page
|
(project: str, packages: list[pypi_simple.classes.DistributionPackage], repository_version: Optional[str], last_serial: Optional[str], versions: Optional[list[str]] = None, tracks: list[str] = <factory>, alternate_locations: list[str] = <factory>) -> None
|
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] |
708,893
|
pypi_simple.client
|
PyPISimple
|
A client for fetching package information from a Python simple package
repository.
If necessary, login/authentication details for the repository can be
specified at initialization by setting the ``auth`` parameter to either a
``(username, password)`` pair or `another authentication object accepted by
requests
<https://requests.readthedocs.io/en/master/user/authentication/>`_.
If more complicated session configuration is desired (e.g., setting up
caching), the user must create & configure a `requests.Session` object
appropriately and pass it to the constructor as the ``session`` parameter.
A `PyPISimple` instance can be used as a context manager that will
automatically close its session on exit, regardless of where the session
object came from.
.. versionchanged:: 1.0.0
``accept`` parameter added
:param str endpoint: The base URL of the simple API instance to query;
defaults to the base URL for PyPI's simple API
:param auth: Optional login/authentication details for the repository;
either a ``(username, password)`` pair or `another authentication
object accepted by requests
<https://requests.readthedocs.io/en/master/user/authentication/>`_
:param session: Optional `requests.Session` object to use instead of
creating a fresh one
:param str accept:
The :mailheader:`Accept` header to send in requests in order to specify
what serialization format the server should return; defaults to
`ACCEPT_ANY`
|
class PyPISimple:
"""
A client for fetching package information from a Python simple package
repository.
If necessary, login/authentication details for the repository can be
specified at initialization by setting the ``auth`` parameter to either a
``(username, password)`` pair or `another authentication object accepted by
requests
<https://requests.readthedocs.io/en/master/user/authentication/>`_.
If more complicated session configuration is desired (e.g., setting up
caching), the user must create & configure a `requests.Session` object
appropriately and pass it to the constructor as the ``session`` parameter.
A `PyPISimple` instance can be used as a context manager that will
automatically close its session on exit, regardless of where the session
object came from.
.. versionchanged:: 1.0.0
``accept`` parameter added
:param str endpoint: The base URL of the simple API instance to query;
defaults to the base URL for PyPI's simple API
:param auth: Optional login/authentication details for the repository;
either a ``(username, password)`` pair or `another authentication
object accepted by requests
<https://requests.readthedocs.io/en/master/user/authentication/>`_
:param session: Optional `requests.Session` object to use instead of
creating a fresh one
:param str accept:
The :mailheader:`Accept` header to send in requests in order to specify
what serialization format the server should return; defaults to
`ACCEPT_ANY`
"""
def __init__(
self,
endpoint: str = PYPI_SIMPLE_ENDPOINT,
auth: Any = None,
session: Optional[requests.Session] = None,
accept: str = ACCEPT_ANY,
) -> None:
self.endpoint: str = endpoint.rstrip("/") + "/"
self.s: requests.Session
if session is not None:
self.s = session
else:
self.s = requests.Session()
self.s.headers["User-Agent"] = USER_AGENT
if auth is not None:
self.s.auth = auth
self.accept = accept
def __enter__(self) -> PyPISimple:
return self
def __exit__(
self,
_exc_type: Optional[type[BaseException]],
_exc_val: Optional[BaseException],
_exc_tb: Optional[TracebackType],
) -> None:
self.s.close()
def get_index_page(
self,
timeout: float | tuple[float, float] | None = None,
accept: Optional[str] = None,
headers: Optional[dict[str, str]] = None,
) -> IndexPage:
"""
Fetches the index/root page from the simple repository and returns an
`IndexPage` instance.
.. warning::
PyPI's project index file is very large and takes several seconds
to parse. Use this method sparingly.
.. versionchanged:: 1.0.0
``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[str] accept:
The :mailheader:`Accept` header to send in order to
specify what serialization format the server should return;
defaults to the value supplied on client instantiation
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: IndexPage
:raises requests.HTTPError: if the repository responds with an HTTP
error code
:raises UnsupportedContentTypeError: if the repository responds with an
unsupported :mailheader:`Content-Type`
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
"""
request_headers = {"Accept": accept or self.accept}
if headers:
request_headers.update(headers)
r = self.s.get(
self.endpoint,
timeout=timeout,
headers=request_headers,
)
r.raise_for_status()
return IndexPage.from_response(r)
def stream_project_names(
self,
chunk_size: int = 65535,
timeout: float | tuple[float, float] | None = None,
accept: Optional[str] = None,
headers: Optional[dict[str, str]] = None,
) -> Iterator[str]:
"""
Returns a generator of names of projects available in the repository.
The names are not normalized.
Unlike `get_index_page()`, this function makes a streaming request to
the server and parses the document in chunks. It is intended to be
faster than the other methods, especially when the complete document is
very large.
.. warning::
This function is rather experimental. It does not have full
support for web encodings, encoding detection, or handling invalid
HTML.
.. note::
If the server responds with a JSON representation of the Simple API
rather than an HTML representation, the response body will be
loaded & parsed in its entirety before yielding anything.
.. versionchanged:: 1.0.0
``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param int chunk_size: how many bytes to read from the response at a
time
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[str] accept:
The :mailheader:`Accept` header to send in order to
specify what serialization format the server should return;
defaults to the value supplied on client instantiation
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: Iterator[str]
:raises requests.HTTPError: if the repository responds with an HTTP
error code
:raises UnsupportedContentTypeError: if the repository responds with an
unsupported :mailheader:`Content-Type`
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
"""
request_headers = {"Accept": accept or self.accept}
if headers:
request_headers.update(headers)
with self.s.get(
self.endpoint,
stream=True,
timeout=timeout,
headers=request_headers,
) as r:
r.raise_for_status()
ct = ContentType.parse(r.headers.get("content-type", "text/html"))
if ct.content_type == "application/vnd.pypi.simple.v1+json":
page = IndexPage.from_json_data(r.json())
yield from page.projects
elif (
ct.content_type == "application/vnd.pypi.simple.v1+html"
or ct.content_type == "text/html"
):
for link in parse_links_stream_response(r, chunk_size):
yield link.text
else:
raise UnsupportedContentTypeError(r.url, str(ct))
def get_project_page(
self,
project: str,
timeout: float | tuple[float, float] | None = None,
accept: Optional[str] = None,
headers: Optional[dict[str, str]] = None,
) -> ProjectPage:
"""
Fetches the page for the given project from the simple repository and
returns a `ProjectPage` instance. Raises `NoSuchProjectError` if the
repository responds with a 404. All other HTTP errors cause a
`requests.HTTPError` to be raised.
.. versionchanged:: 1.0.0
- A 404 now causes `NoSuchProjectError` to be raised instead of
returning `None`
- ``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param str
|
(endpoint: 'str' = 'https://pypi.org/simple/', auth: 'Any' = None, session: 'Optional[requests.Session]' = None, accept: 'str' = 'application/vnd.pypi.simple.v1+json, application/vnd.pypi.simple.v1+html, text/html;q=0.01') -> 'None'
|
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] |
708,894
|
pypi_simple.client
|
__enter__
| null |
def __enter__(self) -> PyPISimple:
return self
|
(self) -> pypi_simple.client.PyPISimple
|
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] |
708,895
|
pypi_simple.client
|
__exit__
| null |
def __exit__(
self,
_exc_type: Optional[type[BaseException]],
_exc_val: Optional[BaseException],
_exc_tb: Optional[TracebackType],
) -> None:
self.s.close()
|
(self, _exc_type: Optional[type[BaseException]], _exc_val: Optional[BaseException], _exc_tb: Optional[traceback]) -> NoneType
|
[
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0.029973851516842842
] |
708,896
|
pypi_simple.client
|
__init__
| null |
def __init__(
self,
endpoint: str = PYPI_SIMPLE_ENDPOINT,
auth: Any = None,
session: Optional[requests.Session] = None,
accept: str = ACCEPT_ANY,
) -> None:
self.endpoint: str = endpoint.rstrip("/") + "/"
self.s: requests.Session
if session is not None:
self.s = session
else:
self.s = requests.Session()
self.s.headers["User-Agent"] = USER_AGENT
if auth is not None:
self.s.auth = auth
self.accept = accept
|
(self, endpoint: str = 'https://pypi.org/simple/', auth: Optional[Any] = None, session: Optional[requests.sessions.Session] = None, accept: str = 'application/vnd.pypi.simple.v1+json, application/vnd.pypi.simple.v1+html, text/html;q=0.01') -> NoneType
|
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] |
708,897
|
pypi_simple.client
|
download_package
|
Download the given `DistributionPackage` to the given path.
If an error occurs while downloading or verifying digests, and
``keep_on_error`` is not true, the downloaded file is not saved.
Download progress can be tracked (e.g., for display by a progress bar)
by passing an appropriate callable as the ``progress`` argument. This
callable will be passed the length of the downloaded file, if known,
and it must return a `ProgressTracker` — a context manager with an
``update(increment: int)`` method that will be passed the size of each
downloaded chunk as each chunk is received.
.. versionchanged:: 1.5.0
``headers`` parameter added
:param DistributionPackage pkg: the distribution package to download
:param path:
the path at which to save the downloaded file; any parent
directories of this path will be created as needed
:param bool verify:
whether to verify the package's digests against the downloaded file
:param bool keep_on_error:
whether to keep (true) or delete (false) the downloaded file if an
error occurs
:param progress: a callable for constructing a progress tracker
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:raises requests.HTTPError: if the repository responds with an HTTP
error code
:raises NoDigestsError:
if ``verify`` is true and the given package does not have any
digests with known algorithms
:raises DigestMismatchError:
if ``verify`` is true and the digest of the downloaded file does
not match the expected value
|
def download_package(
self,
pkg: DistributionPackage,
path: AnyStr | os.PathLike[AnyStr],
verify: bool = True,
keep_on_error: bool = False,
progress: Optional[Callable[[Optional[int]], ProgressTracker]] = None,
timeout: float | tuple[float, float] | None = None,
headers: Optional[dict[str, str]] = None,
) -> None:
"""
Download the given `DistributionPackage` to the given path.
If an error occurs while downloading or verifying digests, and
``keep_on_error`` is not true, the downloaded file is not saved.
Download progress can be tracked (e.g., for display by a progress bar)
by passing an appropriate callable as the ``progress`` argument. This
callable will be passed the length of the downloaded file, if known,
and it must return a `ProgressTracker` — a context manager with an
``update(increment: int)`` method that will be passed the size of each
downloaded chunk as each chunk is received.
.. versionchanged:: 1.5.0
``headers`` parameter added
:param DistributionPackage pkg: the distribution package to download
:param path:
the path at which to save the downloaded file; any parent
directories of this path will be created as needed
:param bool verify:
whether to verify the package's digests against the downloaded file
:param bool keep_on_error:
whether to keep (true) or delete (false) the downloaded file if an
error occurs
:param progress: a callable for constructing a progress tracker
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:raises requests.HTTPError: if the repository responds with an HTTP
error code
:raises NoDigestsError:
if ``verify`` is true and the given package does not have any
digests with known algorithms
:raises DigestMismatchError:
if ``verify`` is true and the digest of the downloaded file does
not match the expected value
"""
target = Path(os.fsdecode(path))
target.parent.mkdir(parents=True, exist_ok=True)
digester: AbstractDigestChecker
if verify:
digester = DigestChecker(pkg.digests)
else:
digester = NullDigestChecker()
with self.s.get(pkg.url, stream=True, timeout=timeout, headers=headers) as r:
r.raise_for_status()
try:
content_length = int(r.headers["Content-Length"])
except (ValueError, KeyError):
content_length = None
if progress is None:
progress = null_progress_tracker()
try:
with progress(content_length) as p:
with target.open("wb") as fp:
for chunk in r.iter_content(65535):
fp.write(chunk)
digester.update(chunk)
p.update(len(chunk))
digester.finalize()
except Exception:
if not keep_on_error:
try:
target.unlink()
except FileNotFoundError:
pass
raise
|
(self, pkg: pypi_simple.classes.DistributionPackage, path: Union[~AnyStr, os.PathLike[~AnyStr]], verify: bool = True, keep_on_error: bool = False, progress: Optional[collections.abc.Callable[[Optional[int]], pypi_simple.progress.ProgressTracker]] = None, timeout: Union[float, tuple[float, float], NoneType] = None, headers: Optional[dict[str, str]] = None) -> NoneType
|
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] |
708,898
|
pypi_simple.client
|
get_index_page
|
Fetches the index/root page from the simple repository and returns an
`IndexPage` instance.
.. warning::
PyPI's project index file is very large and takes several seconds
to parse. Use this method sparingly.
.. versionchanged:: 1.0.0
``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[str] accept:
The :mailheader:`Accept` header to send in order to
specify what serialization format the server should return;
defaults to the value supplied on client instantiation
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: IndexPage
:raises requests.HTTPError: if the repository responds with an HTTP
error code
:raises UnsupportedContentTypeError: if the repository responds with an
unsupported :mailheader:`Content-Type`
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
|
def get_index_page(
self,
timeout: float | tuple[float, float] | None = None,
accept: Optional[str] = None,
headers: Optional[dict[str, str]] = None,
) -> IndexPage:
"""
Fetches the index/root page from the simple repository and returns an
`IndexPage` instance.
.. warning::
PyPI's project index file is very large and takes several seconds
to parse. Use this method sparingly.
.. versionchanged:: 1.0.0
``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[str] accept:
The :mailheader:`Accept` header to send in order to
specify what serialization format the server should return;
defaults to the value supplied on client instantiation
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: IndexPage
:raises requests.HTTPError: if the repository responds with an HTTP
error code
:raises UnsupportedContentTypeError: if the repository responds with an
unsupported :mailheader:`Content-Type`
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
"""
request_headers = {"Accept": accept or self.accept}
if headers:
request_headers.update(headers)
r = self.s.get(
self.endpoint,
timeout=timeout,
headers=request_headers,
)
r.raise_for_status()
return IndexPage.from_response(r)
|
(self, timeout: Union[float, tuple[float, float], NoneType] = None, accept: Optional[str] = None, headers: Optional[dict[str, str]] = None) -> pypi_simple.classes.IndexPage
|
[
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0.028870198875665665,
0.03800678998231888,
-0.007444628980010748
] |
708,899
|
pypi_simple.client
|
get_package_metadata
|
.. versionadded:: 1.3.0
Retrieve the `distribution metadata`_ for the given
`DistributionPackage` and decode it as UTF-8. The metadata can then be
parsed with, for example, |the packaging package|_.
Not all packages have distribution metadata available for download; the
`DistributionPackage.has_metadata` attribute can be used to check
whether the repository reported the availability of the metadata. This
method will always attempt to download metadata regardless of the value
of `~DistributionPackage.has_metadata`; if the server replies with a
404, a `NoMetadataError` is raised.
.. _distribution metadata:
https://packaging.python.org/en/latest/specifications/core-metadata/
.. |the packaging package| replace:: the ``packaging`` package
.. _the packaging package:
https://packaging.pypa.io/en/stable/metadata.html
.. versionchanged:: 1.5.0
``headers`` parameter added
:param DistributionPackage pkg:
the distribution package to retrieve the metadata of
:param bool verify:
whether to verify the metadata's digests against the retrieved data
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: str
:raises NoMetadataError:
if the repository responds with a 404 error code
:raises requests.HTTPError: if the repository responds with an HTTP
error code other than 404
:raises NoDigestsError:
if ``verify`` is true and the given package's metadata does not
have any digests with known algorithms
:raises DigestMismatchError:
if ``verify`` is true and the digest of the downloaded data does
not match the expected value
|
def get_package_metadata(
self,
pkg: DistributionPackage,
verify: bool = True,
timeout: float | tuple[float, float] | None = None,
headers: Optional[dict[str, str]] = None,
) -> str:
"""
.. versionadded:: 1.3.0
Retrieve the `distribution metadata`_ for the given
`DistributionPackage` and decode it as UTF-8. The metadata can then be
parsed with, for example, |the packaging package|_.
Not all packages have distribution metadata available for download; the
`DistributionPackage.has_metadata` attribute can be used to check
whether the repository reported the availability of the metadata. This
method will always attempt to download metadata regardless of the value
of `~DistributionPackage.has_metadata`; if the server replies with a
404, a `NoMetadataError` is raised.
.. _distribution metadata:
https://packaging.python.org/en/latest/specifications/core-metadata/
.. |the packaging package| replace:: the ``packaging`` package
.. _the packaging package:
https://packaging.pypa.io/en/stable/metadata.html
.. versionchanged:: 1.5.0
``headers`` parameter added
:param DistributionPackage pkg:
the distribution package to retrieve the metadata of
:param bool verify:
whether to verify the metadata's digests against the retrieved data
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: str
:raises NoMetadataError:
if the repository responds with a 404 error code
:raises requests.HTTPError: if the repository responds with an HTTP
error code other than 404
:raises NoDigestsError:
if ``verify`` is true and the given package's metadata does not
have any digests with known algorithms
:raises DigestMismatchError:
if ``verify`` is true and the digest of the downloaded data does
not match the expected value
"""
return self.get_package_metadata_bytes(
pkg,
verify,
timeout,
headers,
).decode("utf-8", "surrogateescape")
|
(self, pkg: pypi_simple.classes.DistributionPackage, verify: bool = True, timeout: Union[float, tuple[float, float], NoneType] = None, headers: Optional[dict[str, str]] = None) -> str
|
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] |
708,900
|
pypi_simple.client
|
get_package_metadata_bytes
|
.. versionadded:: 1.5.0
Retrieve the `distribution metadata`_ for the given
`DistributionPackage` as raw bytes. This method is lower-level than
`PyPISimple.get_package_metadata()` and is most appropriate if you want
to defer interpretation of the data (e.g., if you're just writing to a
file) or want to customize the handling of non-UTF-8 data.
Not all packages have distribution metadata available for download; the
`DistributionPackage.has_metadata` attribute can be used to check
whether the repository reported the availability of the metadata. This
method will always attempt to download metadata regardless of the value
of `~DistributionPackage.has_metadata`; if the server replies with a
404, a `NoMetadataError` is raised.
:param DistributionPackage pkg:
the distribution package to retrieve the metadata of
:param bool verify:
whether to verify the metadata's digests against the retrieved data
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: bytes
:raises NoMetadataError:
if the repository responds with a 404 error code
:raises requests.HTTPError: if the repository responds with an HTTP
error code other than 404
:raises NoDigestsError:
if ``verify`` is true and the given package's metadata does not
have any digests with known algorithms
:raises DigestMismatchError:
if ``verify`` is true and the digest of the downloaded data does
not match the expected value
|
def get_package_metadata_bytes(
self,
pkg: DistributionPackage,
verify: bool = True,
timeout: float | tuple[float, float] | None = None,
headers: Optional[dict[str, str]] = None,
) -> bytes:
"""
.. versionadded:: 1.5.0
Retrieve the `distribution metadata`_ for the given
`DistributionPackage` as raw bytes. This method is lower-level than
`PyPISimple.get_package_metadata()` and is most appropriate if you want
to defer interpretation of the data (e.g., if you're just writing to a
file) or want to customize the handling of non-UTF-8 data.
Not all packages have distribution metadata available for download; the
`DistributionPackage.has_metadata` attribute can be used to check
whether the repository reported the availability of the metadata. This
method will always attempt to download metadata regardless of the value
of `~DistributionPackage.has_metadata`; if the server replies with a
404, a `NoMetadataError` is raised.
:param DistributionPackage pkg:
the distribution package to retrieve the metadata of
:param bool verify:
whether to verify the metadata's digests against the retrieved data
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: bytes
:raises NoMetadataError:
if the repository responds with a 404 error code
:raises requests.HTTPError: if the repository responds with an HTTP
error code other than 404
:raises NoDigestsError:
if ``verify`` is true and the given package's metadata does not
have any digests with known algorithms
:raises DigestMismatchError:
if ``verify`` is true and the digest of the downloaded data does
not match the expected value
"""
digester: AbstractDigestChecker
if verify:
digester = DigestChecker(pkg.metadata_digests or {})
else:
digester = NullDigestChecker()
r = self.s.get(pkg.metadata_url, timeout=timeout, headers=headers)
if r.status_code == 404:
raise NoMetadataError(pkg.filename)
r.raise_for_status()
digester.update(r.content)
digester.finalize()
return r.content
|
(self, pkg: pypi_simple.classes.DistributionPackage, verify: bool = True, timeout: Union[float, tuple[float, float], NoneType] = None, headers: Optional[dict[str, str]] = None) -> bytes
|
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708,901
|
pypi_simple.client
|
get_project_page
|
Fetches the page for the given project from the simple repository and
returns a `ProjectPage` instance. Raises `NoSuchProjectError` if the
repository responds with a 404. All other HTTP errors cause a
`requests.HTTPError` to be raised.
.. versionchanged:: 1.0.0
- A 404 now causes `NoSuchProjectError` to be raised instead of
returning `None`
- ``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param str project: The name of the project to fetch information on.
The name does not need to be normalized.
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[str] accept:
The :mailheader:`Accept` header to send in order to
specify what serialization format the server should return;
defaults to the value supplied on client instantiation
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: ProjectPage
:raises NoSuchProjectError: if the repository responds with a 404 error
code
:raises requests.HTTPError: if the repository responds with an HTTP
error code other than 404
:raises UnsupportedContentTypeError: if the repository responds with an
unsupported :mailheader:`Content-Type`
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
|
def get_project_page(
self,
project: str,
timeout: float | tuple[float, float] | None = None,
accept: Optional[str] = None,
headers: Optional[dict[str, str]] = None,
) -> ProjectPage:
"""
Fetches the page for the given project from the simple repository and
returns a `ProjectPage` instance. Raises `NoSuchProjectError` if the
repository responds with a 404. All other HTTP errors cause a
`requests.HTTPError` to be raised.
.. versionchanged:: 1.0.0
- A 404 now causes `NoSuchProjectError` to be raised instead of
returning `None`
- ``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param str project: The name of the project to fetch information on.
The name does not need to be normalized.
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[str] accept:
The :mailheader:`Accept` header to send in order to
specify what serialization format the server should return;
defaults to the value supplied on client instantiation
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: ProjectPage
:raises NoSuchProjectError: if the repository responds with a 404 error
code
:raises requests.HTTPError: if the repository responds with an HTTP
error code other than 404
:raises UnsupportedContentTypeError: if the repository responds with an
unsupported :mailheader:`Content-Type`
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
"""
request_headers = {"Accept": accept or self.accept}
if headers:
request_headers.update(headers)
url = self.get_project_url(project)
r = self.s.get(url, timeout=timeout, headers=request_headers)
if r.status_code == 404:
raise NoSuchProjectError(project, url)
r.raise_for_status()
return ProjectPage.from_response(r, project)
|
(self, project: str, timeout: Union[float, tuple[float, float], NoneType] = None, accept: Optional[str] = None, headers: Optional[dict[str, str]] = None) -> pypi_simple.classes.ProjectPage
|
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] |
708,902
|
pypi_simple.client
|
get_project_url
|
Returns the URL for the given project's page in the repository.
:param str project: The name of the project to build a URL for. The
name does not need to be normalized.
:rtype: str
|
def get_project_url(self, project: str) -> str:
"""
Returns the URL for the given project's page in the repository.
:param str project: The name of the project to build a URL for. The
name does not need to be normalized.
:rtype: str
"""
return self.endpoint + normalize(project) + "/"
|
(self, project: str) -> str
|
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] |
708,903
|
pypi_simple.client
|
stream_project_names
|
Returns a generator of names of projects available in the repository.
The names are not normalized.
Unlike `get_index_page()`, this function makes a streaming request to
the server and parses the document in chunks. It is intended to be
faster than the other methods, especially when the complete document is
very large.
.. warning::
This function is rather experimental. It does not have full
support for web encodings, encoding detection, or handling invalid
HTML.
.. note::
If the server responds with a JSON representation of the Simple API
rather than an HTML representation, the response body will be
loaded & parsed in its entirety before yielding anything.
.. versionchanged:: 1.0.0
``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param int chunk_size: how many bytes to read from the response at a
time
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[str] accept:
The :mailheader:`Accept` header to send in order to
specify what serialization format the server should return;
defaults to the value supplied on client instantiation
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: Iterator[str]
:raises requests.HTTPError: if the repository responds with an HTTP
error code
:raises UnsupportedContentTypeError: if the repository responds with an
unsupported :mailheader:`Content-Type`
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
|
def stream_project_names(
self,
chunk_size: int = 65535,
timeout: float | tuple[float, float] | None = None,
accept: Optional[str] = None,
headers: Optional[dict[str, str]] = None,
) -> Iterator[str]:
"""
Returns a generator of names of projects available in the repository.
The names are not normalized.
Unlike `get_index_page()`, this function makes a streaming request to
the server and parses the document in chunks. It is intended to be
faster than the other methods, especially when the complete document is
very large.
.. warning::
This function is rather experimental. It does not have full
support for web encodings, encoding detection, or handling invalid
HTML.
.. note::
If the server responds with a JSON representation of the Simple API
rather than an HTML representation, the response body will be
loaded & parsed in its entirety before yielding anything.
.. versionchanged:: 1.0.0
``accept`` parameter added
.. versionchanged:: 1.5.0
``headers`` parameter added
:param int chunk_size: how many bytes to read from the response at a
time
:param timeout: optional timeout to pass to the ``requests`` call
:type timeout: float | tuple[float,float] | None
:param Optional[str] accept:
The :mailheader:`Accept` header to send in order to
specify what serialization format the server should return;
defaults to the value supplied on client instantiation
:param Optional[dict[str, str]] headers:
Custom headers to provide for the request.
:rtype: Iterator[str]
:raises requests.HTTPError: if the repository responds with an HTTP
error code
:raises UnsupportedContentTypeError: if the repository responds with an
unsupported :mailheader:`Content-Type`
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
"""
request_headers = {"Accept": accept or self.accept}
if headers:
request_headers.update(headers)
with self.s.get(
self.endpoint,
stream=True,
timeout=timeout,
headers=request_headers,
) as r:
r.raise_for_status()
ct = ContentType.parse(r.headers.get("content-type", "text/html"))
if ct.content_type == "application/vnd.pypi.simple.v1+json":
page = IndexPage.from_json_data(r.json())
yield from page.projects
elif (
ct.content_type == "application/vnd.pypi.simple.v1+html"
or ct.content_type == "text/html"
):
for link in parse_links_stream_response(r, chunk_size):
yield link.text
else:
raise UnsupportedContentTypeError(r.url, str(ct))
|
(self, chunk_size: int = 65535, timeout: Union[float, tuple[float, float], NoneType] = None, accept: Optional[str] = None, headers: Optional[dict[str, str]] = None) -> collections.abc.Iterator[str]
|
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] |
708,904
|
pypi_simple.html
|
RepositoryPage
|
.. versionadded:: 1.0.0
A parsed HTML page from a :pep:`503` simple repository
|
class RepositoryPage:
"""
.. versionadded:: 1.0.0
A parsed HTML page from a :pep:`503` simple repository
"""
#: The repository version, if any, reported by the page in accordance with
#: :pep:`629`
repository_version: Optional[str]
#: A list of hyperlinks found on the page
links: list[Link]
#: .. versionadded:: 1.4.0
#:
#: ``<meta/>`` tags found on the page whose ``name`` attributes start with
#: ``pypi:``. This is a dict in which the keys are ``name`` attributes
#: with leading ``"pypi:"`` removed and in which the values are the
#: corresponding ``content`` attributes.
pypi_meta: dict[str, list[str]]
@property
def tracks(self) -> list[str]:
"""
.. versionadded:: 1.4.0
Repository "tracks" metadata. See `PEP 708`__.
__ https://peps.python.org/pep-0708/#repository-tracks-metadata
"""
return self.pypi_meta.get("tracks", [])
@property
def alternate_locations(self) -> list[str]:
"""
.. versionadded:: 1.4.0
Repository "alternate locations" metadata. See `PEP 708`__.
__ https://peps.python.org/pep-0708/#alternate-locations-metadata
"""
return self.pypi_meta.get("alternate-locations", [])
@classmethod
def from_html(
cls,
html: str | bytes,
base_url: Optional[str] = None,
from_encoding: Optional[str] = None,
) -> RepositoryPage:
"""
Parse an HTML page from a simple repository into a `RepositoryPage`.
:param html: the HTML to parse
:type html: str or bytes
:param Optional[str] base_url:
an optional URL to join to the front of the links' URLs (usually
the URL of the page being parsed)
:param Optional[str] from_encoding:
an optional hint to Beautiful Soup as to the encoding of ``html``
when it is `bytes` (usually the ``charset`` parameter of the
response's :mailheader:`Content-Type` header)
:rtype: RepositoryPage
:raises UnsupportedRepoVersionError:
if the repository version has a greater major component than the
supported repository version
"""
soup = BeautifulSoup(html, "html.parser", from_encoding=from_encoding)
base_tag = soup.find("base", href=True)
if base_tag is not None:
assert isinstance(base_tag, Tag)
href = base_tag["href"]
assert isinstance(href, str)
if base_url is None:
base_url = href
else:
base_url = urljoin(base_url, href)
meta: dict[str, list[str]] = {}
for tag in soup.find_all(
"meta", attrs={"name": re.compile(r"^pypi:"), "content": True}
):
assert isinstance(tag, Tag)
name = tag["name"]
assert isinstance(name, str)
assert name.startswith("pypi:")
content = tag["content"]
assert isinstance(content, str)
meta.setdefault(name[5:], []).append(content)
try:
repository_version = meta["repository-version"][0]
except LookupError:
repository_version = None
if repository_version is not None:
check_repo_version(repository_version)
links = []
for link in soup.find_all("a", href=True):
links.append(
Link(
text="".join(link.strings).strip(),
url=basejoin(base_url, link["href"]),
attrs=link.attrs,
)
)
return cls(repository_version=repository_version, links=links, pypi_meta=meta)
|
(repository_version: Optional[str], links: list[pypi_simple.html.Link], pypi_meta: dict[str, list[str]]) -> None
|
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] |
708,908
|
pypi_simple.errors
|
UnexpectedRepoVersionWarning
|
Emitted upon encountering a simple repository whose repository version
(:pep:`629`) has a greater minor version components than the maximum
supported repository version (`SUPPORTED_REPOSITORY_VERSION`).
This warning can be emitted by anything that can raise
`UnsupportedRepoVersionError`.
|
class UnexpectedRepoVersionWarning(UserWarning):
"""
Emitted upon encountering a simple repository whose repository version
(:pep:`629`) has a greater minor version components than the maximum
supported repository version (`SUPPORTED_REPOSITORY_VERSION`).
This warning can be emitted by anything that can raise
`UnsupportedRepoVersionError`.
"""
pass
| null |
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] |
708,909
|
pypi_simple.errors
|
UnparsableFilenameError
|
.. versionadded:: 1.0.0
Raised when `parse_filename()` is passed an unparsable filename
|
class UnparsableFilenameError(ValueError):
"""
.. versionadded:: 1.0.0
Raised when `parse_filename()` is passed an unparsable filename
"""
def __init__(self, filename: str) -> None:
#: The unparsable filename
self.filename = filename
def __str__(self) -> str:
return f"Cannot parse package filename: {self.filename!r}"
|
(filename: str) -> None
|
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708,910
|
pypi_simple.errors
|
__init__
| null |
def __init__(self, filename: str) -> None:
#: The unparsable filename
self.filename = filename
|
(self, filename: str) -> NoneType
|
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708,911
|
pypi_simple.errors
|
__str__
| null |
def __str__(self) -> str:
return f"Cannot parse package filename: {self.filename!r}"
|
(self) -> str
|
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] |
708,912
|
pypi_simple.errors
|
UnsupportedContentTypeError
|
Raised when a response from a simple repository has an unsupported
:mailheader:`Content-Type`
|
class UnsupportedContentTypeError(ValueError):
"""
Raised when a response from a simple repository has an unsupported
:mailheader:`Content-Type`
"""
def __init__(self, url: str, content_type: str) -> None:
#: The URL that returned the response
self.url = url
#: The unsupported :mailheader:`Content-Type`
self.content_type = content_type
def __str__(self) -> str:
return (
f"Response from {self.url} has unsupported Content-Type"
f" {self.content_type!r}"
)
|
(url: str, content_type: str) -> None
|
[
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] |
708,913
|
pypi_simple.errors
|
__init__
| null |
def __init__(self, url: str, content_type: str) -> None:
#: The URL that returned the response
self.url = url
#: The unsupported :mailheader:`Content-Type`
self.content_type = content_type
|
(self, url: str, content_type: str) -> NoneType
|
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708,914
|
pypi_simple.errors
|
__str__
| null |
def __str__(self) -> str:
return (
f"Response from {self.url} has unsupported Content-Type"
f" {self.content_type!r}"
)
|
(self) -> str
|
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] |
708,915
|
pypi_simple.errors
|
UnsupportedRepoVersionError
|
Raised upon encountering a simple repository whose repository version
(:pep:`629`) has a greater major component than the maximum supported
repository version (`SUPPORTED_REPOSITORY_VERSION`)
|
class UnsupportedRepoVersionError(Exception):
"""
Raised upon encountering a simple repository whose repository version
(:pep:`629`) has a greater major component than the maximum supported
repository version (`SUPPORTED_REPOSITORY_VERSION`)
"""
def __init__(self, declared_version: str, supported_version: str) -> None:
#: The version of the simple repository
self.declared_version: str = declared_version
#: The maximum repository version that we support
self.supported_version: str = supported_version
def __str__(self) -> str:
return (
f"Repository's version ({self.declared_version}) has greater major"
f" component than supported version ({self.supported_version})"
)
|
(declared_version: str, supported_version: str) -> None
|
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] |
708,916
|
pypi_simple.errors
|
__init__
| null |
def __init__(self, declared_version: str, supported_version: str) -> None:
#: The version of the simple repository
self.declared_version: str = declared_version
#: The maximum repository version that we support
self.supported_version: str = supported_version
|
(self, declared_version: str, supported_version: str) -> NoneType
|
[
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] |
708,917
|
pypi_simple.errors
|
__str__
| null |
def __str__(self) -> str:
return (
f"Repository's version ({self.declared_version}) has greater major"
f" component than supported version ({self.supported_version})"
)
|
(self) -> str
|
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] |
708,924
|
pypi_simple.filenames
|
parse_filename
|
Given the filename of a distribution package, returns a triple of the
project name, project version, and package type. The name and version are
spelled the same as they appear in the filename; no normalization is
performed.
The package type may be any of the following strings:
- ``'dumb'``
- ``'egg'``
- ``'msi'``
- ``'rpm'``
- ``'sdist'``
- ``'wheel'``
- ``'wininst'``
Note that some filenames (e.g., :file:`1-2-3.tar.gz`) may be ambiguous as
to which part is the project name and which is the version. In order to
resolve the ambiguity, the expected value for the project name (*modulo*
normalization) can be supplied as the ``project_name`` argument to the
function. If the filename can be parsed with the given string in the role
of the project name, the results of that parse will be returned; otherwise,
the function will fall back to breaking the project & version apart at an
unspecified point.
.. versionchanged:: 1.0.0
Now raises `UnparsableFilenameError` for unparsable filenames instead
of returning all `None`\s
:param str filename: The package filename to parse
:param Optional[str] project_hint: Optionally, the expected value for the
project name (usually the name of the project page on which the
filename was found). The name does not need to be normalized.
:rtype: tuple[str, str, str]
:raises UnparsableFilenameError: if the filename cannot be parsed
|
def parse_filename(
filename: str, project_hint: Optional[str] = None
) -> tuple[str, str, str]:
"""
Given the filename of a distribution package, returns a triple of the
project name, project version, and package type. The name and version are
spelled the same as they appear in the filename; no normalization is
performed.
The package type may be any of the following strings:
- ``'dumb'``
- ``'egg'``
- ``'msi'``
- ``'rpm'``
- ``'sdist'``
- ``'wheel'``
- ``'wininst'``
Note that some filenames (e.g., :file:`1-2-3.tar.gz`) may be ambiguous as
to which part is the project name and which is the version. In order to
resolve the ambiguity, the expected value for the project name (*modulo*
normalization) can be supplied as the ``project_name`` argument to the
function. If the filename can be parsed with the given string in the role
of the project name, the results of that parse will be returned; otherwise,
the function will fall back to breaking the project & version apart at an
unspecified point.
.. versionchanged:: 1.0.0
Now raises `UnparsableFilenameError` for unparsable filenames instead
of returning all `None`\\s
:param str filename: The package filename to parse
:param Optional[str] project_hint: Optionally, the expected value for the
project name (usually the name of the project page on which the
filename was found). The name does not need to be normalized.
:rtype: tuple[str, str, str]
:raises UnparsableFilenameError: if the filename cannot be parsed
"""
for pkg_type, rgx in GOOD_PACKAGE_RGXN:
m = rgx.match(filename)
if m:
return (m.group("project"), m.group("version"), pkg_type)
if project_hint is not None:
proj_rgx = re.sub(r"[^A-Za-z0-9]+", "[-_.]+", project_hint)
proj_rgx = re.sub(
r"([A-Za-z])",
lambda m: "[" + m.group(1).upper() + m.group(1).lower() + "]",
proj_rgx,
)
m = re.match(proj_rgx + r"(?=-)", filename)
if m:
project = m.group(0)
rest_of_name = filename[m.end(0) :]
for pkg_type, rgx in BAD_PACKAGE_BASES:
m = rgx.match(rest_of_name)
if m:
return (project, m.group("version"), pkg_type)
for pkg_type, rgx in BAD_PACKAGE_RGXN:
m = rgx.match(filename)
if m:
return (m.group("project"), m.group("version"), pkg_type)
raise UnparsableFilenameError(filename)
|
(filename: str, project_hint: Optional[str] = None) -> tuple[str, str, str]
|
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] |
708,925
|
pypi_simple.html_stream
|
parse_links_stream
|
Parse an HTML page given as an iterable of `bytes` or `str` and yield each
hyperlink encountered in the document as a `Link` object.
This function consumes the elements of ``htmlseq`` one at a time and yields
the links found in each segment before moving on to the next one. It is
intended to be faster than `RepositoryPage.from_html()`, especially when
the complete document is very large.
.. warning::
This function is rather experimental. It does not have full support
for web encodings, encoding detection, or handling invalid HTML. It
also leaves CDATA list attributes on links as strings instead of
converting them to lists.
:param Iterable[AnyStr] htmlseq: an iterable of either `bytes` or `str`
that, when joined together, form an HTML document to parse
:param Optional[str] base_url: an optional URL to join to the front of the
links' URLs (usually the URL of the page being parsed)
:param Optional[str] http_charset: the document's encoding as declared by
the transport layer, if any; e.g., as declared in the ``charset``
parameter of the :mailheader:`Content-Type` header of the HTTP response
that returned the document
:rtype: Iterator[Link]
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
|
def parse_links_stream(
htmlseq: Iterable[AnyStr],
base_url: Optional[str] = None,
http_charset: Optional[str] = None,
) -> Iterator[Link]:
"""
Parse an HTML page given as an iterable of `bytes` or `str` and yield each
hyperlink encountered in the document as a `Link` object.
This function consumes the elements of ``htmlseq`` one at a time and yields
the links found in each segment before moving on to the next one. It is
intended to be faster than `RepositoryPage.from_html()`, especially when
the complete document is very large.
.. warning::
This function is rather experimental. It does not have full support
for web encodings, encoding detection, or handling invalid HTML. It
also leaves CDATA list attributes on links as strings instead of
converting them to lists.
:param Iterable[AnyStr] htmlseq: an iterable of either `bytes` or `str`
that, when joined together, form an HTML document to parse
:param Optional[str] base_url: an optional URL to join to the front of the
links' URLs (usually the URL of the page being parsed)
:param Optional[str] http_charset: the document's encoding as declared by
the transport layer, if any; e.g., as declared in the ``charset``
parameter of the :mailheader:`Content-Type` header of the HTTP response
that returned the document
:rtype: Iterator[Link]
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
"""
textseq = iterhtmldecode(htmlseq, http_charset=http_charset)
parser = LinkParser(base_url=base_url)
for piece in textseq:
parser.feed(piece)
for link in parser.fetch_links():
yield link
parser.close()
for link in parser.fetch_links():
yield link
|
(htmlseq: collections.abc.Iterable[~AnyStr], base_url: Optional[str] = None, http_charset: Optional[str] = None) -> collections.abc.Iterator[pypi_simple.html.Link]
|
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] |
708,926
|
pypi_simple.html_stream
|
parse_links_stream_response
|
Parse an HTML page from a streaming `requests.Response` object and yield
each hyperlink encountered in the document as a `Link` object.
See `parse_links_stream()` for more information.
:param requests.Response r: the streaming response object to parse
:param int chunk_size: how many bytes to read from the response at a time
:rtype: Iterator[Link]
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
|
def parse_links_stream_response(
r: requests.Response, chunk_size: int = 65535
) -> Iterator[Link]:
"""
Parse an HTML page from a streaming `requests.Response` object and yield
each hyperlink encountered in the document as a `Link` object.
See `parse_links_stream()` for more information.
:param requests.Response r: the streaming response object to parse
:param int chunk_size: how many bytes to read from the response at a time
:rtype: Iterator[Link]
:raises UnsupportedRepoVersionError: if the repository version has a
greater major component than the supported repository version
"""
return parse_links_stream(
r.iter_content(chunk_size),
base_url=r.url,
http_charset=r.encoding,
)
|
(r: requests.models.Response, chunk_size: int = 65535) -> collections.abc.Iterator[pypi_simple.html.Link]
|
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] |
708,929
|
pypi_simple.progress
|
tqdm_progress_factory
|
A function for displaying a progress bar with tqdm_ during a download.
Naturally, using this requires tqdm to be installed alongside
``pypi-simple``.
Call `tqdm_progress_factory()` with any arguments you wish to pass to the
``tqdm.tqdm`` constructor, and pass the result as the ``progress`` argument
to `PyPISimple.download_package()`.
.. _tqdm: https://tqdm.github.io
Example:
.. code:: python
with PyPISimple() as client:
page = client.get_project_page("pypi-simple")
pkg = page.packages[-1]
client.download_package(
pkg,
path=pkg.filename,
progress=tqdm_progress_factory(desc="Downloading ..."),
)
|
def tqdm_progress_factory(**kwargs: Any) -> Callable[[Optional[int]], ProgressTracker]:
"""
A function for displaying a progress bar with tqdm_ during a download.
Naturally, using this requires tqdm to be installed alongside
``pypi-simple``.
Call `tqdm_progress_factory()` with any arguments you wish to pass to the
``tqdm.tqdm`` constructor, and pass the result as the ``progress`` argument
to `PyPISimple.download_package()`.
.. _tqdm: https://tqdm.github.io
Example:
.. code:: python
with PyPISimple() as client:
page = client.get_project_page("pypi-simple")
pkg = page.packages[-1]
client.download_package(
pkg,
path=pkg.filename,
progress=tqdm_progress_factory(desc="Downloading ..."),
)
"""
from tqdm import tqdm
def factory(content_length: Optional[int]) -> ProgressTracker:
return tqdm(total=content_length, **kwargs)
return factory
|
(**kwargs: Any) -> collections.abc.Callable[[typing.Optional[int]], pypi_simple.progress.ProgressTracker]
|
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] |
708,933
|
colorlover
|
flipper
|
Invert color scale dictionary
|
def flipper( scl=None ):
''' Invert color scale dictionary '''
scl = scl if scl is not None else scales
flipped = defaultdict(dict)
for key, val in list(scl.items()):
for subkey, subval in list(val.items()):
flipped[subkey][key] = subval
return flipped
|
(scl=None)
|
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] |
708,934
|
colorlover
|
interp
|
Interpolate a color scale "scl" to a new one with length "r"
Fun usage in IPython notebook:
HTML( to_html( to_hsl( interp( cl.scales['11']['qual']['Paired'], 5000 ) ) ) )
|
def interp(scl, r):
''' Interpolate a color scale "scl" to a new one with length "r"
Fun usage in IPython notebook:
HTML( to_html( to_hsl( interp( cl.scales['11']['qual']['Paired'], 5000 ) ) ) ) '''
c = []
if isinstance(r, int):
if r == 0:
r_steps = []
elif r == 1:
# Midway point
r_steps = [(len(scl) / 2) - 1]
else:
# Linearly space r from 0 to len(scl) - 1
r_steps = [x*1.0*(len(scl) - 1)/(r-1) for x in range(r)]
else:
r_steps = r
scl = to_numeric(scl)
def hsl_interp(fraction, hsl_start, hsl_end):
''' Interpolate between values of 2, 3-member tuples '''
def interp_linear(f, s, e):
return s + (e - s) * f
def interp_circular(f, s, e):
s_mod = s % 360
e_mod = e % 360
if max(s_mod, e_mod) - min(s_mod, e_mod) > 180:
s_mod, e_mod = (s_mod + 360, e_mod) if s_mod < e_mod else (
s_mod, e_mod + 360)
return interp_linear(f, s_mod, e_mod) % 360
else:
return interp_linear(f, s_mod, e_mod)
return (
interp_circular(fraction, hsl_start[0], hsl_end[0]),
interp_circular(fraction, hsl_start[1], hsl_end[1]),
interp_circular(fraction, hsl_start[2], hsl_end[2]),
)
for i in r_steps:
section_min = math.floor(i)
section_max = math.ceil(i)
c_i_min = int(section_min)
c_i_max = int(section_max)
if c_i_min == c_i_max:
# No interpolation needed
hsl = rgb_to_hsl(scl[c_i_min])
else:
fraction = (i-section_min)
hsl_o = rgb_to_hsl( scl[c_i_min] ) # convert rgb to hls
hsl_f = rgb_to_hsl( scl[c_i_max] )
hsl = hsl_interp( fraction, hsl_o, hsl_f )
c.append( 'hsl'+str(hsl) )
return to_hsl( c )
|
(scl, r)
|
[
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-0.10411296039819717,
-0.06533807516098022,
0.023667067289352417,
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0.0498797707259655,
0.026120472699403763,
-0.03230010345578194,
-0.0406564399600029,
0.019442781805992126,
0.02291075326502323,
0.01668500527739525,
0.07850898802280426,
0.03303797170519829,
-0.032244764268398285,
-0.0038276822306215763,
0.0077614327892661095,
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0.0033734331373125315,
0.08160802721977234,
0.016140827909111977,
-0.08094394952058792,
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-0.006419437937438488,
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0.0008398995269089937,
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0.021914632990956306,
0.0578487291932106,
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0.00308059249073267,
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0.00698667299002409,
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-0.028112711384892464,
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0.047334134578704834,
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-0.011483047157526016
] |
708,936
|
colorlover
|
rgb_to_hsl
|
Adapted from M Bostock's RGB to HSL converter in d3.js
https://github.com/mbostock/d3/blob/master/src/color/rgb.js
|
def rgb_to_hsl(rgb):
''' Adapted from M Bostock's RGB to HSL converter in d3.js
https://github.com/mbostock/d3/blob/master/src/color/rgb.js '''
r,g,b = float(rgb[0])/255.0,\
float(rgb[1])/255.0,\
float(rgb[2])/255.0
mx = max(r, g, b)
mn = min(r, g, b)
h = s = l = (mx + mn) / 2
if mx == mn: # achromatic
h = 0
s = 0 if l > 0 and l < 1 else h
else:
d = mx - mn;
s = d / (mx + mn) if l < 0.5 else d / (2 - mx - mn)
if mx == r:
h = (g - b) / d + ( 6 if g < b else 0 )
elif mx == g:
h = (b - r) / d + 2
else:
h = (r - g) / d + 4
return (int(round(h*60,4)), int(round(s*100,4)), int(round(l*100,4)))
|
(rgb)
|
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] |
708,937
|
colorlover
|
scale_type
|
returns "rbg", "hsl", "numeric", or raises exception. ie,
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ] --> "rgb"
|
def scale_type( scale ):
''' returns "rbg", "hsl", "numeric", or raises exception. ie,
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ] --> "rgb" '''
swatch = scale[0]
s_t = str(swatch)[0:3]
if s_t in ['rgb', 'hsl']:
return s_t
elif isinstance(swatch,tuple) and len(swatch) == 3:
return 'numeric'
raise Exception('Could not determine type of input colorscale.\n\
Colorscales must be in one of these 3 forms:\n\
[ (255, 255, 255), (255, 255, 255), (255, 255, 255) ]\n\
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ]\n\
[ "hsl(360,100,100)", "hsl(360,100,100)", "hsl(360,100,100)" ]')
|
(scale)
|
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] |
708,938
|
colorlover
|
to_hsl
|
convert a string rgb or numeric rgb colorscale to hsl. ie,
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ] -->
[ "hsl(360,100%,100%)", "hsl(360,100%,100%)", "hsl(360,100%,100%)" ]
add percentages to saturation and lightness if missing for css compatibility
|
def to_hsl( scale ):
''' convert a string rgb or numeric rgb colorscale to hsl. ie,
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ] -->
[ "hsl(360,100%,100%)", "hsl(360,100%,100%)", "hsl(360,100%,100%)" ]
add percentages to saturation and lightness if missing for css compatibility '''
hsl = []
s_t = scale_type(scale)
if s_t == 'hsl':
# add percentages to s and l if missing
numeric_hsl_scale = []
for s in scale:
s = s[s.find("(")+1:s.find(")")].replace(' ','').replace('%','').split(',')
numeric_hsl_scale.append( ( float(s[0]), float(s[1]), float(s[2]) ) )
for ea in numeric_hsl_scale:
h,s,l = [ str(x) for x in ea ]
if s[-1] != '%':
s = s + '%'
if l[-1] != '%':
l = l + '%'
hsl_str = 'hsl(' + ', '.join([h,s,l]) + ')'
hsl.append( hsl_str )
return hsl
elif s_t == 'rgb':
scale = to_numeric( scale )
for ea in scale:
r,g,b = [ x/255.0 for x in ea ]
h,l,s = colorsys.rgb_to_hls( r,g,b )
h,s,l = [ str(int(round(h*360.0))), str(int(round(s*100.0)))+'%', str(int(round(l*100.0)))+'%' ]
hsl_str = 'hsl(' + ', '.join([h,s,l]) + ')'
hsl.append( hsl_str )
return hsl
|
(scale)
|
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] |
708,939
|
colorlover
|
to_html
|
traverse color scale dictionary and return available color scales in HTML string
|
def to_html( scale ):
''' traverse color scale dictionary and return available color scales in HTML string '''
global s
s = ''
def single_scale( scale ):
''' return square html <div> for a single color '''
if scale_type( scale ) == 'numeric':
scale = to_rgb( scale )
s_s = ''
for ea in scale:
s_s+='<div style="background-color:{0};height:20px;width:20px;margin-bottom:0px;display:inline-block;"></div>'.format(ea)
return s_s
def section_titles( k ):
d = { 'qual':'Qualitative','div':'Diverging','seq':'Sequential' }
if k in list(d.keys()):
return '<h4>' + d[k] + '</h4>'
return '<hr><h3>' + k + ' colors</h3>'
def prettyprint( d ):
global s
for k, v in list(d.items()):
if isinstance(v, dict):
if len(list(v.keys())) != 0:
s += section_titles(k)
prettyprint(v)
else:
s += '<div style="display:inline-block;padding:10px;"><div>{0}</div>{1}</div>'.format(k, single_scale( v ) )
return s
if isinstance( scale, list ):
return single_scale( scale )
elif isinstance( scale, dict ):
prettyprint( scale )
return s
|
(scale)
|
[
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0.03728436306118965,
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-0.06792622059583664,
0.006417339202016592,
0.011314782314002514,
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0.0220854040235281,
0.04942476749420166,
-0.002365455497056246,
0.011568098329007626,
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0.0172630175948143,
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0.03051050566136837,
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-0.04229439049959183
] |
708,940
|
colorlover
|
to_numeric
|
converts scale of rgb or hsl strings to list of tuples with rgb integer values. ie,
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ] -->
[ (255, 255, 255), (255, 255, 255), (255, 255, 255) ]
|
def to_numeric( scale ):
''' converts scale of rgb or hsl strings to list of tuples with rgb integer values. ie,
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ] -->
[ (255, 255, 255), (255, 255, 255), (255, 255, 255) ] '''
numeric_scale = []
s_t = scale_type( scale )
if s_t in ['rgb','hsl']:
for s in scale:
s = s[s.find("(")+1:s.find(")")].replace(' ','').split(',')
numeric_scale.append( ( float(s[0]), float(s[1]), float(s[2]) ) )
elif s_t == 'numeric':
numeric_scale = scale
return numeric_scale
|
(scale)
|
[
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] |
708,941
|
colorlover
|
to_rgb
|
convert an hsl or numeric rgb color scale to string rgb color scale. ie,
[ "hsl(360,100,100)", "hsl(360,100,100)", "hsl(360,100,100)" ] -->
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ]
|
def to_rgb( scale ):
''' convert an hsl or numeric rgb color scale to string rgb color scale. ie,
[ "hsl(360,100,100)", "hsl(360,100,100)", "hsl(360,100,100)" ] -->
[ "rgb(255, 255, 255)", "rgb(255, 255, 255)", "rgb(255, 255, 255)" ]
'''
rgb = []
s_t = scale_type(scale)
if s_t == 'rgb':
return scale
elif s_t == 'numeric':
for ea in scale:
rgb.append( 'rgb'+str(ea) )
return rgb
elif s_t == 'hsl':
numeric_hsl_scale = []
for s in scale:
s = s[s.find("(")+1:s.find(")")].replace(' ','').replace('%','').split(',')
numeric_hsl_scale.append( ( float(s[0]), float(s[1]), float(s[2]) ) )
scale = numeric_hsl_scale
for ea in scale:
h,s,l = [ float(x) for x in ea ]
r,g,b = colorsys.hls_to_rgb(h/360.0, l/100.0, s/100.0)
r,g,b = [ str(int(round(x*255.0))) for x in (r,g,b) ]
rgb_str = 'rgb(' + ', '.join([r,g,b]) + ')'
rgb.append( rgb_str )
return rgb
|
(scale)
|
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] |
708,942
|
subgrounds.client.async_
|
AsyncSubgrounds
| null |
class AsyncSubgrounds(SubgroundsBase):
@cached_property
def _client(self):
"""Cached client"""
return httpx.AsyncClient(http2=HTTP2_SUPPORT, timeout=self.timeout)
async def load(self, url: str, save_schema: bool = False, is_subgraph: bool = True):
"""Performs introspection on the provided GraphQL API ``url`` to get the
schema, stores the schema if ``save_schema`` is ``True`` and returns a
generated class representing the GraphQL endpoint with all its entities.
"""
try:
loader = self._load(url, save_schema, is_subgraph)
url, query = next(loader) # if this fails, schema is loaded from cache
data = await self._fetch(url, {"query": query})
loader.send(data)
except StopIteration as e:
return e.value
assert False
async def load_subgraph(self, url: str, save_schema: bool = False) -> Subgraph:
"""Performs introspection on the provided GraphQL API ``url`` to get the
schema, stores the schema if ``save_schema`` is ``True`` and returns a
generated class representing the subgraph with all its entities.
Args:
url: The url of the API
save_schema: Flag indicating whether or not the schema should be cached to
disk. Defaults to False.
cache_dir: If ``save_schema == True``, then subgraph schemas will be stored
under ``cache_dir``. Defaults to ``schemas/``
Returns:
Subgraph: A generated class representing the subgraph and its entities
"""
return await self.load(url, save_schema, True)
async def load_api(self, url: str, save_schema: bool = False) -> Subgraph:
"""Performs introspection on the provided GraphQL API ``url`` to get the
schema, stores the schema if ``save_schema`` is ``True`` and returns a
generated class representing the GraphQL endpoint with all its entities.
Args:
url: The url of the API
save_schema: Flag indicating whether or not the schema should be saved
to disk. Defaults to False.
Returns:
A generated class representing the subgraph and its entities
"""
return await self.load(url, save_schema, False)
async def execute(
self,
req: DataRequest,
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> DataResponse:
"""Executes a :class:`DataRequest` and returns a :class:`DataResponse`.
Args:
req: The :class:`DataRequest` object to be executed
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
A :class:`DataResponse` object representing the response
"""
try:
executor = self._execute(req, pagination_strategy)
doc = next(executor)
while True:
data = await self._fetch(
doc.url, {"query": doc.graphql, "variables": doc.variables}
)
doc = executor.send(DocumentResponse(url=doc.url, data=data))
except StopIteration as e:
return e.value
async def query_json(
self,
fpaths: FieldPath | list[FieldPath],
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> list[dict[str, Any]]:
"""See :func:`~subgrounds.Subgrounds.query_json`.
Args:
fpaths: One or more :class:`FieldPath` objects that should be included in
the request.
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
The reponse data
"""
fpaths = list([fpaths] | traverse | map(FieldPath._auto_select) | traverse)
req = self.mk_request(fpaths)
data = await self.execute(req, pagination_strategy)
return [doc.data for doc in data.responses]
async def query_df(
self,
fpaths: FieldPath | list[FieldPath],
columns: list[str] | None = None,
concat: bool = False,
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> pd.DataFrame | list[pd.DataFrame]:
"""See :func:`~subgrounds.Subgrounds.query_df`.
Args:
fpaths: One or more `FieldPath` objects that should be included in the request
columns: The column labels.
merge: Whether or not to merge resulting dataframes.
pagination_strategy: A class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Returns:
A :class:`pandas.DataFrame` containing the reponse data.
"""
fpaths = list([fpaths] | traverse | map(FieldPath._auto_select) | traverse)
json_data = await self.query_json(fpaths, pagination_strategy)
return df_of_json(json_data, fpaths, columns, concat)
async def query(
self,
fpaths: FieldPath | list[FieldPath],
unwrap: bool = True,
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> str | int | float | bool | list | tuple | None:
"""See :func:`~subgrounds.Subgrounds.query`.
Args:
fpaths: One or more ``FieldPath`` object(s) to query.
unwrap: Flag indicating whether or not, in the case where the returned data
is a list of one element, the element itself should be returned instead of
the list. Defaults to ``True``.
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
The ``FieldPath`` object(s) data
"""
fpaths = list([fpaths] | traverse | map(FieldPath._auto_select) | traverse)
blob = await self.query_json(fpaths, pagination_strategy=pagination_strategy)
def f(fpath: FieldPath) -> dict[str, Any]:
data = fpath._extract_data(blob)
if type(data) == list and len(data) == 1 and unwrap:
return data[0]
return data
data = tuple(fpaths | map(f))
if len(data) == 1:
return data[0]
return data
async def _fetch(self, url: str, blob: dict[str, Any]) -> dict[str, Any]:
resp = await self._client.post(
url, json=blob, headers=default_header(url) | self.headers
)
resp.raise_for_status()
try:
raw_data = resp.json()
except JSONDecodeError:
raise ServerError(
f"Server ({url}) did not respond with proper JSON"
f"\nDid you query a proper GraphQL endpoint?"
f"\n\n{resp.content}"
)
if (data := raw_data.get("data")) is None:
raise GraphQLError(raw_data.get("errors", "Unknown Error(s) Found"))
return data
async def __aenter__(self):
await self._client.__aenter__()
return self
async def __aexit__(self, *args):
await self._client.__aexit__(*args)
|
(timeout: int = 30, headers: dict[str, typing.Any] = <factory>, global_transforms: list[subgrounds.transform.base.RequestTransform] = <factory>, subgraphs: dict[str, subgrounds.subgraph.subgraph.Subgraph] = <factory>, schema_cache: pathlib.Path = PosixPath('schemas')) -> None
|
[
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0.023879284039139748,
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0.047426626086235046,
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0.026949774473905563,
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] |
708,943
|
subgrounds.client.async_
|
__aenter__
| null |
def f(fpath: FieldPath) -> dict[str, Any]:
data = fpath._extract_data(blob)
if type(data) == list and len(data) == 1 and unwrap:
return data[0]
return data
|
(self)
|
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] |
708,945
|
subgrounds.client.base
|
__eq__
| null |
""" `SubgroundsBase`
This module implements the base API that developers can use to build custom clients to
allow for intricate customization of the subgrounds feature set.
{{ lab_bdg }} The building of Custom Clients is an experimental feature.
"""
import json
import logging
import warnings
from abc import ABC
from collections.abc import Generator
from dataclasses import dataclass, field
from functools import reduce
from importlib import resources
from pathlib import Path
from typing import Annotated, Any, Type, cast
from typing_extensions import Self
from pipe import groupby, map, traverse
from ..errors import SubgroundsError
from ..pagination import (
LegacyStrategy,
PaginationStrategy,
normalize_strategy,
paginate,
)
from ..query import DataRequest, DataResponse, Document, DocumentResponse, Query
from ..schema import SchemaMeta
from ..subgraph import FieldPath, Subgraph
from ..transform import (
DEFAULT_GLOBAL_TRANSFORMS,
DEFAULT_SUBGRAPH_TRANSFORMS,
RequestTransform,
apply_transforms,
)
from ..utils import PLAYGROUNDS_APP_URL
logger = logging.getLogger("subgrounds")
warnings.simplefilter("default")
HTTP2_SUPPORT = True
INTROSPECTION_QUERY = (
resources.files("subgrounds") / "resources" / "introspection.graphql"
)
@dataclass
class SubgroundsBase(ABC):
"""A base instance for all `Subgrounds` (should not be used directly)"""
timeout: Annotated[int, "seconds"] = 30
headers: dict[str, Any] = field(default_factory=dict)
global_transforms: list[RequestTransform] = field(
default_factory=lambda: DEFAULT_GLOBAL_TRANSFORMS.copy()
)
subgraphs: dict[str, Subgraph] = field(default_factory=dict)
schema_cache: Path = Path("schemas/")
def __post_init__(self):
self.schema_cache = Path(self.schema_cache)
@classmethod
def from_pg_key(cls, key: str, **kwargs: Any) -> Self:
"""Create a Subgrounds* instance using a playgrounds key directly.
This sets the `headers` field internally to be used with all queries made out.
Args:
key: The aforementioned Playgrounds API Key
**kwargs: Anything else to construct the Subgrounds* instance
Returns:
An instance Subgrounds* with Playgrounds API support baked in
"""
if not key.startswith("pg-"):
raise SubgroundsError(
"Invalid Playgrounds Key: key should start with 'pg-'.\n\n"
f"Go to {PLAYGROUNDS_APP_URL} to double check your API Key!"
)
headers: dict[str, Any] = {"headers": {"Playgrounds-Api-Key": key}}
if (headers_arg := kwargs.get("headers")) is not None:
if "Playgrounds-Api-Key" in headers_arg:
raise TypeError(
f"{cls.__name__}.from_pg_key cannot take `headers`"
"as a keyword argument."
)
headers |= headers_arg
return cls(**(kwargs | headers))
@classmethod
def _subgraph_slug(cls, url: str) -> str:
*_, author, name = url.split("/")
return f"{author}_{name}"
def make_request(self, fpaths: FieldPath | list[FieldPath]) -> DataRequest:
"""Creates a :class:`DataRequest` object by combining one or more
:class:`FieldPath` objects.
Args:
fpaths: One or more :class:`FieldPath` objects that should be included
in the request
Returns:
Brand new request
"""
fpaths = list([fpaths] | traverse | map(FieldPath._auto_select) | traverse)
return DataRequest(
documents=list(
fpaths
| groupby(lambda fpath: fpath._subgraph._url)
| map(
lambda group: Document(
url=group[0],
query=reduce(
Query.add, group[1] | map(FieldPath._selection), Query()
),
)
)
)
)
mk_request = make_request
def fetch_schema(self, url: str) -> None | dict[str, Any]:
"""Reads schema from filesystem based on subgraph_slug of the url"""
self.schema_cache.mkdir(parents=True, exist_ok=True)
schema_path = self.schema_cache / self._subgraph_slug(url)
if (schema := schema_path.with_suffix(".json")).exists():
return json.loads(schema.read_text())
def cache_schema(self, url: str, data: dict[str, Any]):
"""Writes schema into filesystem based on subgraph_slug of the url"""
self.schema_cache.mkdir(parents=True, exist_ok=True)
schema_path = self.schema_cache / self._subgraph_slug(url)
if (schema := schema_path.with_suffix(".json")).exists():
schema.write_text(json.dumps(data))
else:
raise ValueError(f"Schema at {schema} doesn't exist.")
def _load(
self, url: str, save_schema: bool = False, is_subgraph: bool = True
) -> Generator[tuple[str, str], dict[str, Any], Subgraph]:
"""Loads a subgraph / graphql API by fetching the schema.
If `save_schema` is set `True`, grabs schema from disk and skips query made to
url.
```{note}
This method utilizes the sans-io generator pattern.
More on that [here](/subgrounds/advanced_topics/custom_clients/#methodology).
```
"""
if not save_schema or (schema := self.fetch_schema(url)) is None:
# TODO Yield `Document` once we have graphql -> AST converter
schema = yield url, INTROSPECTION_QUERY.read_text()
if save_schema:
self.cache_schema(url, schema)
self.subgraphs[url] = Subgraph(
url,
SchemaMeta.parse_obj(schema["__schema"]),
DEFAULT_SUBGRAPH_TRANSFORMS,
is_subgraph,
)
return self.subgraphs[url]
def _execute(
self,
req: DataRequest,
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> Generator[Document, DocumentResponse, DataResponse]:
"""Executes a :class:`DataRequest` and returns a :class:`DataResponse`.
Args:
req: The :class:`DataRequest` object to be executed.
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
A :class:`DataResponse` object representing the response
"""
strategy = normalize_strategy(pagination_strategy)
# Setup the main transformation pipeline via `apply_transforms`
document_transforms = {
url: subgraph._transforms for url, subgraph in self.subgraphs.items()
}
transformer = apply_transforms(self.global_transforms, document_transforms, req)
# start with the base request and the response we'll be building iteratively
data_req = cast(DataRequest, next(transformer))
data_resp = DataResponse(responses=[])
# for each top-level document (generally 1 per subgraph URL):
# define the pagination pipeline
# setup the starting doc request and the response we'll be building
# iteratively until pagination is complete
for doc in data_req.documents:
paginator = paginate(self.subgraphs[doc.url]._schema, doc, strategy)
doc_req = next(paginator)
doc_resp = DocumentResponse(url=doc.url, data={})
while True:
resp = yield doc_req
doc_resp = doc_resp.combine(resp)
try:
doc_req = paginator.send(resp)
except StopIteration:
break
data_resp = data_resp.add_responses(doc_resp)
next(transformer) # toss empty None
return cast(DataResponse, transformer.send(data_resp))
def _execute_iter(
self,
req: DataRequest,
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> Generat
|
(self, other)
|
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] |
708,947
|
subgrounds.client.base
|
__post_init__
| null |
def __post_init__(self):
self.schema_cache = Path(self.schema_cache)
|
(self)
|
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] |
708,948
|
subgrounds.client.base
|
__repr__
| null |
def _execute(
self,
req: DataRequest,
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> Generator[Document, DocumentResponse, DataResponse]:
"""Executes a :class:`DataRequest` and returns a :class:`DataResponse`.
Args:
req: The :class:`DataRequest` object to be executed.
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
A :class:`DataResponse` object representing the response
"""
strategy = normalize_strategy(pagination_strategy)
# Setup the main transformation pipeline via `apply_transforms`
document_transforms = {
url: subgraph._transforms for url, subgraph in self.subgraphs.items()
}
transformer = apply_transforms(self.global_transforms, document_transforms, req)
# start with the base request and the response we'll be building iteratively
data_req = cast(DataRequest, next(transformer))
data_resp = DataResponse(responses=[])
# for each top-level document (generally 1 per subgraph URL):
# define the pagination pipeline
# setup the starting doc request and the response we'll be building
# iteratively until pagination is complete
for doc in data_req.documents:
paginator = paginate(self.subgraphs[doc.url]._schema, doc, strategy)
doc_req = next(paginator)
doc_resp = DocumentResponse(url=doc.url, data={})
while True:
resp = yield doc_req
doc_resp = doc_resp.combine(resp)
try:
doc_req = paginator.send(resp)
except StopIteration:
break
data_resp = data_resp.add_responses(doc_resp)
next(transformer) # toss empty None
return cast(DataResponse, transformer.send(data_resp))
|
(self)
|
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] |
708,949
|
subgrounds.client.base
|
_execute
|
Executes a :class:`DataRequest` and returns a :class:`DataResponse`.
Args:
req: The :class:`DataRequest` object to be executed.
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
A :class:`DataResponse` object representing the response
|
def _execute(
self,
req: DataRequest,
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> Generator[Document, DocumentResponse, DataResponse]:
"""Executes a :class:`DataRequest` and returns a :class:`DataResponse`.
Args:
req: The :class:`DataRequest` object to be executed.
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
A :class:`DataResponse` object representing the response
"""
strategy = normalize_strategy(pagination_strategy)
# Setup the main transformation pipeline via `apply_transforms`
document_transforms = {
url: subgraph._transforms for url, subgraph in self.subgraphs.items()
}
transformer = apply_transforms(self.global_transforms, document_transforms, req)
# start with the base request and the response we'll be building iteratively
data_req = cast(DataRequest, next(transformer))
data_resp = DataResponse(responses=[])
# for each top-level document (generally 1 per subgraph URL):
# define the pagination pipeline
# setup the starting doc request and the response we'll be building
# iteratively until pagination is complete
for doc in data_req.documents:
paginator = paginate(self.subgraphs[doc.url]._schema, doc, strategy)
doc_req = next(paginator)
doc_resp = DocumentResponse(url=doc.url, data={})
while True:
resp = yield doc_req
doc_resp = doc_resp.combine(resp)
try:
doc_req = paginator.send(resp)
except StopIteration:
break
data_resp = data_resp.add_responses(doc_resp)
next(transformer) # toss empty None
return cast(DataResponse, transformer.send(data_resp))
|
(self, req: subgrounds.query.DataRequest, pagination_strategy: Optional[Type[subgrounds.pagination.strategies.PaginationStrategy]] = <class 'subgrounds.pagination.strategies.LegacyStrategy'>) -> collections.abc.Generator[subgrounds.query.Document, subgrounds.query.DocumentResponse, subgrounds.query.DataResponse]
|
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] |
708,950
|
subgrounds.client.base
|
_execute_iter
|
Same as `execute`, except that an iterator is returned which will iterate
the data pages.
Args:
req: The :class:`DataRequest` object to be executed
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
An iterator over the :class:`DocumentResponse` pages.
⚠️ DOES NOT apply global transforms across multiple documents or their pages.
Since we yield each page as we get it, it's not possible to accurately perform
the transforms since we don't collect the pages. This means transforms
expecting multiple documents or pages of documents will be inaccurate.
|
def _execute_iter(
self,
req: DataRequest,
pagination_strategy: Type[PaginationStrategy] | None = LegacyStrategy,
) -> Generator[Document | DocumentResponse, DocumentResponse, None]:
"""Same as `execute`, except that an iterator is returned which will iterate
the data pages.
Args:
req: The :class:`DataRequest` object to be executed
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
An iterator over the :class:`DocumentResponse` pages.
⚠️ DOES NOT apply global transforms across multiple documents or their pages.
Since we yield each page as we get it, it's not possible to accurately perform
the transforms since we don't collect the pages. This means transforms
expecting multiple documents or pages of documents will be inaccurate.
"""
if len(req.documents) > 1:
raise NotImplementedError(
"`execute_iter` cannot currently handle multiple documents\n"
"Try splitting your query into multiple queries."
)
document_transforms = {
url: subgraph._transforms for url, subgraph in self.subgraphs.items()
}
transformer = apply_transforms(self.global_transforms, document_transforms, req)
strategy = normalize_strategy(pagination_strategy)
data_req = cast(DataRequest, next(transformer))
for doc in data_req.documents:
paginator = paginate(self.subgraphs[doc.url]._schema, doc, strategy)
paginated_doc = next(paginator)
while True:
resp = yield paginated_doc
next(transformer) # toss empty None
data_resp = cast(
DataResponse, transformer.send(DataResponse(responses=[resp]))
)
yield data_resp.responses[0] # will only be one
try:
paginated_doc = paginator.send(resp)
except StopIteration:
break
|
(self, req: subgrounds.query.DataRequest, pagination_strategy: Optional[Type[subgrounds.pagination.strategies.PaginationStrategy]] = <class 'subgrounds.pagination.strategies.LegacyStrategy'>) -> collections.abc.Generator[subgrounds.query.Document | subgrounds.query.DocumentResponse, subgrounds.query.DocumentResponse, None]
|
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0.01735290139913559
] |
708,952
|
subgrounds.client.base
|
_load
|
Loads a subgraph / graphql API by fetching the schema.
If `save_schema` is set `True`, grabs schema from disk and skips query made to
url.
```{note}
This method utilizes the sans-io generator pattern.
More on that [here](/subgrounds/advanced_topics/custom_clients/#methodology).
```
|
def _load(
self, url: str, save_schema: bool = False, is_subgraph: bool = True
) -> Generator[tuple[str, str], dict[str, Any], Subgraph]:
"""Loads a subgraph / graphql API by fetching the schema.
If `save_schema` is set `True`, grabs schema from disk and skips query made to
url.
```{note}
This method utilizes the sans-io generator pattern.
More on that [here](/subgrounds/advanced_topics/custom_clients/#methodology).
```
"""
if not save_schema or (schema := self.fetch_schema(url)) is None:
# TODO Yield `Document` once we have graphql -> AST converter
schema = yield url, INTROSPECTION_QUERY.read_text()
if save_schema:
self.cache_schema(url, schema)
self.subgraphs[url] = Subgraph(
url,
SchemaMeta.parse_obj(schema["__schema"]),
DEFAULT_SUBGRAPH_TRANSFORMS,
is_subgraph,
)
return self.subgraphs[url]
|
(self, url: str, save_schema: bool = False, is_subgraph: bool = True) -> collections.abc.Generator[tuple[str, str], dict[str, typing.Any], subgrounds.subgraph.subgraph.Subgraph]
|
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] |
708,953
|
subgrounds.client.base
|
cache_schema
|
Writes schema into filesystem based on subgraph_slug of the url
|
def cache_schema(self, url: str, data: dict[str, Any]):
"""Writes schema into filesystem based on subgraph_slug of the url"""
self.schema_cache.mkdir(parents=True, exist_ok=True)
schema_path = self.schema_cache / self._subgraph_slug(url)
if (schema := schema_path.with_suffix(".json")).exists():
schema.write_text(json.dumps(data))
else:
raise ValueError(f"Schema at {schema} doesn't exist.")
|
(self, url: str, data: dict[str, typing.Any])
|
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708,954
|
subgrounds.client.async_
|
execute
|
Executes a :class:`DataRequest` and returns a :class:`DataResponse`.
Args:
req: The :class:`DataRequest` object to be executed
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
A :class:`DataResponse` object representing the response
|
@cached_property
def _client(self):
"""Cached client"""
return httpx.AsyncClient(http2=HTTP2_SUPPORT, timeout=self.timeout)
|
(self, req: subgrounds.query.DataRequest, pagination_strategy: Optional[Type[subgrounds.pagination.strategies.PaginationStrategy]] = <class 'subgrounds.pagination.strategies.LegacyStrategy'>) -> subgrounds.query.DataResponse
|
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] |
708,955
|
subgrounds.client.base
|
fetch_schema
|
Reads schema from filesystem based on subgraph_slug of the url
|
def fetch_schema(self, url: str) -> None | dict[str, Any]:
"""Reads schema from filesystem based on subgraph_slug of the url"""
self.schema_cache.mkdir(parents=True, exist_ok=True)
schema_path = self.schema_cache / self._subgraph_slug(url)
if (schema := schema_path.with_suffix(".json")).exists():
return json.loads(schema.read_text())
|
(self, url: str) -> None | dict[str, typing.Any]
|
[
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-0.017098318785429,
-0.06438712775707245
] |
708,956
|
subgrounds.client.async_
|
load
|
Performs introspection on the provided GraphQL API ``url`` to get the
schema, stores the schema if ``save_schema`` is ``True`` and returns a
generated class representing the GraphQL endpoint with all its entities.
|
@cached_property
def _client(self):
"""Cached client"""
return httpx.AsyncClient(http2=HTTP2_SUPPORT, timeout=self.timeout)
|
(self, url: str, save_schema: bool = False, is_subgraph: bool = True)
|
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] |
708,957
|
subgrounds.client.async_
|
load_api
|
Performs introspection on the provided GraphQL API ``url`` to get the
schema, stores the schema if ``save_schema`` is ``True`` and returns a
generated class representing the GraphQL endpoint with all its entities.
Args:
url: The url of the API
save_schema: Flag indicating whether or not the schema should be saved
to disk. Defaults to False.
Returns:
A generated class representing the subgraph and its entities
|
@cached_property
def _client(self):
"""Cached client"""
return httpx.AsyncClient(http2=HTTP2_SUPPORT, timeout=self.timeout)
|
(self, url: str, save_schema: bool = False) -> subgrounds.subgraph.subgraph.Subgraph
|
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] |
708,958
|
subgrounds.client.async_
|
load_subgraph
|
Performs introspection on the provided GraphQL API ``url`` to get the
schema, stores the schema if ``save_schema`` is ``True`` and returns a
generated class representing the subgraph with all its entities.
Args:
url: The url of the API
save_schema: Flag indicating whether or not the schema should be cached to
disk. Defaults to False.
cache_dir: If ``save_schema == True``, then subgraph schemas will be stored
under ``cache_dir``. Defaults to ``schemas/``
Returns:
Subgraph: A generated class representing the subgraph and its entities
|
@cached_property
def _client(self):
"""Cached client"""
return httpx.AsyncClient(http2=HTTP2_SUPPORT, timeout=self.timeout)
|
(self, url: str, save_schema: bool = False) -> subgrounds.subgraph.subgraph.Subgraph
|
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] |
708,959
|
subgrounds.client.base
|
make_request
|
Creates a :class:`DataRequest` object by combining one or more
:class:`FieldPath` objects.
Args:
fpaths: One or more :class:`FieldPath` objects that should be included
in the request
Returns:
Brand new request
|
def make_request(self, fpaths: FieldPath | list[FieldPath]) -> DataRequest:
"""Creates a :class:`DataRequest` object by combining one or more
:class:`FieldPath` objects.
Args:
fpaths: One or more :class:`FieldPath` objects that should be included
in the request
Returns:
Brand new request
"""
fpaths = list([fpaths] | traverse | map(FieldPath._auto_select) | traverse)
return DataRequest(
documents=list(
fpaths
| groupby(lambda fpath: fpath._subgraph._url)
| map(
lambda group: Document(
url=group[0],
query=reduce(
Query.add, group[1] | map(FieldPath._selection), Query()
),
)
)
)
)
|
(self, fpaths: subgrounds.subgraph.fieldpath.FieldPath | list[subgrounds.subgraph.fieldpath.FieldPath]) -> subgrounds.query.DataRequest
|
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] |
708,961
|
subgrounds.client.async_
|
query
|
See :func:`~subgrounds.Subgrounds.query`.
Args:
fpaths: One or more ``FieldPath`` object(s) to query.
unwrap: Flag indicating whether or not, in the case where the returned data
is a list of one element, the element itself should be returned instead of
the list. Defaults to ``True``.
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
The ``FieldPath`` object(s) data
|
@cached_property
def _client(self):
"""Cached client"""
return httpx.AsyncClient(http2=HTTP2_SUPPORT, timeout=self.timeout)
|
(self, fpaths: subgrounds.subgraph.fieldpath.FieldPath | list[subgrounds.subgraph.fieldpath.FieldPath], unwrap: bool = True, pagination_strategy: Optional[Type[subgrounds.pagination.strategies.PaginationStrategy]] = <class 'subgrounds.pagination.strategies.LegacyStrategy'>) -> str | int | float | bool | list | tuple | None
|
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] |
708,962
|
subgrounds.client.async_
|
query_df
|
See :func:`~subgrounds.Subgrounds.query_df`.
Args:
fpaths: One or more `FieldPath` objects that should be included in the request
columns: The column labels.
merge: Whether or not to merge resulting dataframes.
pagination_strategy: A class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Returns:
A :class:`pandas.DataFrame` containing the reponse data.
|
@cached_property
def _client(self):
"""Cached client"""
return httpx.AsyncClient(http2=HTTP2_SUPPORT, timeout=self.timeout)
|
(self, fpaths: subgrounds.subgraph.fieldpath.FieldPath | list[subgrounds.subgraph.fieldpath.FieldPath], columns: Optional[list[str]] = None, concat: bool = False, pagination_strategy: Optional[Type[subgrounds.pagination.strategies.PaginationStrategy]] = <class 'subgrounds.pagination.strategies.LegacyStrategy'>) -> pandas.core.frame.DataFrame | list[pandas.core.frame.DataFrame]
|
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] |
708,963
|
subgrounds.client.async_
|
query_json
|
See :func:`~subgrounds.Subgrounds.query_json`.
Args:
fpaths: One or more :class:`FieldPath` objects that should be included in
the request.
pagination_strategy: A Class implementing the :class:`PaginationStrategy`
``Protocol``. If ``None``, then automatic pagination is disabled.
Defaults to :class:`LegacyStrategy`.
Returns:
The reponse data
|
@cached_property
def _client(self):
"""Cached client"""
return httpx.AsyncClient(http2=HTTP2_SUPPORT, timeout=self.timeout)
|
(self, fpaths: subgrounds.subgraph.fieldpath.FieldPath | list[subgrounds.subgraph.fieldpath.FieldPath], pagination_strategy: Optional[Type[subgrounds.pagination.strategies.PaginationStrategy]] = <class 'subgrounds.pagination.strategies.LegacyStrategy'>) -> list[dict[str, typing.Any]]
|
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] |
708,964
|
subgrounds.subgraph.fieldpath
|
FieldPath
|
FieldPath(subgraph: 'Subgraph', root_type: 'TypeRef.T', type_: 'TypeRef.T', path: 'list[tuple[dict[str, Any] | None, TypeMeta.FieldMeta]]') -> 'None'
|
class FieldPath(FieldOperatorMixin):
_subgraph: Subgraph
_root_type: TypeRef.T
_type: TypeRef.T
_path: list[tuple[dict[str, Any] | None, TypeMeta.FieldMeta]]
# Purely for testing
__test_mode: ClassVar[bool] = False
def __init__(
self,
subgraph: Subgraph,
root_type: TypeRef.T,
type_: TypeRef.T,
path: list[tuple[dict[str, Any] | None, TypeMeta.FieldMeta]],
) -> None:
self._subgraph = subgraph
self._root_type = root_type
self._type = type_
self._path = path
# Add fields as attributes if leaf is object
match self._subgraph._schema.type_of(self._leaf):
case TypeMeta.ObjectMeta() | TypeMeta.InterfaceMeta() as type_ if len(
self._path
) < FPATH_DEPTH_LIMIT:
# We generate fieldpaths up to depth 8
for fmeta in type_.fields:
path = self._path.copy()
path.append((None, fmeta))
super().__setattr__(
fmeta.name,
FieldPath(
subgraph=self._subgraph,
root_type=self._root_type,
type_=fmeta.type_,
path=path,
),
)
case TypeMeta.ObjectMeta() | TypeMeta.InterfaceMeta() as type_ if len(
self._path
) == FPATH_DEPTH_LIMIT:
for fmeta in type_.fields:
# NOTE: We set the attribute to None on purpose since we want code
# completion to work while avoiding infinite loops caused by cycles
# in the GraphQL schema. The attribute itself will be initialized
# on __getattribute_
super().__setattr__(fmeta.name, None)
case _:
pass
@property
def _schema(self) -> SchemaMeta:
return self._subgraph._schema
@property
def _root(self) -> TypeMeta.FieldMeta:
"""Returns the type information of the root field of the current
:class:`FieldPath`
Returns:
Type information of the root field of the current :class:`FieldPath`
"""
return self._path[0][1]
@property
def _leaf(self) -> TypeMeta.FieldMeta:
"""Returns the type information of the leaf field of the current
:class:`FieldPath`
Returns:
Type information of the leaf field of the current :class:`FieldPath`
"""
return self._path[-1][1]
@staticmethod
def _hash(msg: str) -> str:
h = blake2b(digest_size=8)
h.update(msg.encode("UTF-8"))
return "x" + h.hexdigest()
@staticmethod
def _merge(fpaths: list[FieldPath]) -> list[Selection]:
"""Returns a Selection tree containing all selection paths in `fpaths`.
Note: Assumes that all fieldpaths in `fpaths` belong to the same subgraph
Args:
fpaths: _description_
Returns:
_description_
"""
query = reduce(Query.add, fpaths | map(FieldPath._selection), Query())
return query.selection
def _name_path(self, use_aliases: bool = False) -> list[str]:
"""Returns a list of strings correspoding to the names of all fields
selected in the current :class:`FieldPath`. If :attr:`use_aliases` is True,
then if a field has an automatically generated alias, the alias will be
returned.
Args:
use_aliases: Flag indicating wether of not to use the fields' automatically
generated alias (if present). Defaults to False.
Returns:
List of field names selected in the current :class:`FieldPath`
"""
def gen_alias(ele: tuple[dict[str, Any] | None, TypeMeta.FieldMeta]) -> str:
if ele[0] != {} and ele[0] is not None:
return FieldPath._hash(ele[1].name + str(ele[0]))
else:
return ele[1].name
return list(
self._path | map(lambda ele: gen_alias(ele) if use_aliases else ele[1].name)
)
def _name(self, use_aliases: bool = False) -> str:
"""Generates the name of the current :class:`FieldPath` using the names of
the fields it selects. If :attr:`use_aliases` is True, then if a field has
an automatically generated alias, the alias will be used.
Args:
use_aliases: Flag indicating wether of not to use the fields' automatically
generated alias (if present). Defaults to False.
Returns:
The generated name of the current :class:`FieldPath`.
"""
return "_".join(self._name_path(use_aliases=use_aliases))
def _auto_select(self) -> FieldPath | list[FieldPath]:
match self._subgraph._schema.type_of_typeref(self._leaf.type_):
case TypeMeta.ObjectMeta() | TypeMeta.InterfaceMeta() as obj:
return list(
fieldpaths_of_object(self._subgraph, obj)
| map(partial(FieldPath._extend, self))
)
case _:
return self
def _extract_data(
self, data: dict[str, Any] | list[dict[str, Any]]
) -> list[Any] | Any:
"""Extract the data corresponding to the current :class:`FieldPath` from
the dictionary :attr:`data`.
Args:
data: Data dictionary that contains the data corresponding to the current
:class:`FieldPath`.
Returns:
Data corresponding to the current :class:`FieldPath`.
"""
return extract_data(self._name_path(use_aliases=True), data)
def _selection(self) -> Selection | list[Selection]:
"""Returns a selection or list of selections corresponding to the current
:class:`FieldPath`.
Returns:
Selection | list[Selection]: _description_
"""
def f(
path: list[tuple[dict[str, Any] | None, TypeMeta.FieldMeta]]
) -> list[Selection]:
match path:
case [
(args, TypeMeta.FieldMeta() as fmeta),
*rest,
] if args == {} or args is None:
return [Selection(fmeta, selection=f(rest))]
case [(args, TypeMeta.FieldMeta() as fmeta), *rest]:
return [
Selection(
fmeta,
# TODO: Revisit this
alias=FieldPath._hash(fmeta.name + str(args)),
arguments=arguments_of_field_args(
self._subgraph._schema, fmeta, args
),
selection=f(rest),
)
]
case []:
return []
assert False # Suppress mypy missing return statement warning
return f(self._path)[0]
def _set_arguments(
self, args: dict[str, Any], selection: list[FieldPath] = []
) -> FieldPath | list[FieldPath]:
"""Set the arguments to the leaf of the current :class:`FieldPath`. The
method returns the :attr:`self`.
Args:
args: _description_
selection: _description_. Defaults to [].
Returns:
_description_
"""
def fmt_arg(name, raw_arg):
match (name, raw_arg):
case ("where", [Filter(), *_] as filters):
return Filter.to_dict(filters)
case ("orderBy", FieldPath() as fpath):
if paths := fpath._name_path():
return "__".join(paths)
raise Exception(
f"Cannot use empty paths as orderBy argument {fpath}"
)
case _:
return raw_arg
match self._leaf:
case TypeMeta.FieldMeta():
args = {key: fmt_arg(key, val) for key, val in args.item
|
(subgraph: 'Subgraph', root_type: 'TypeRef.T', type_: 'TypeRef.T', path: 'list[tuple[dict[str, Any] | None, TypeMeta.FieldMeta]]') -> 'None'
|
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] |
708,965
|
subgrounds.subgraph.fieldpath
|
__abs__
| null |
def __abs__(self) -> SyntheticField:
return SyntheticField(
operator.abs, type_ref_of_unary_op("abs", self._type), self
)
|
(self) -> subgrounds.subgraph.fieldpath.SyntheticField
|
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] |
708,966
|
subgrounds.subgraph.fieldpath
|
__add__
| null |
def __add__(self, other: Any) -> SyntheticField:
return SyntheticField(
operator.add, typeref_of_binary_op("add", self._type, other), [self, other]
)
|
(self, other: Any) -> subgrounds.subgraph.fieldpath.SyntheticField
|
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